[{"data":1,"prerenderedAt":138},["ShallowReactive",2],{"$fHpKsvyMWTzxv43x3kYnWeFW4u-LcpK5TKblP_ccELm0":3,"$fSSnJfF7n-62h7B1MToPHkmi8l3hUjrfULRRRB4fjO_w":33},{"job":4},{"id":5,"applyToken":6,"slug":7,"title":8,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":13,"country":14,"applicantCountries":15,"applicantStates":16,"remote":17,"employmentType":18,"department":20,"content_html":21,"content_text":22,"years":23,"createdAt":24,"updatedAtISO":25,"postedAtISO":26,"validThroughISO":27,"active":28,"hasSalary":28,"salaryMin":29,"salaryMax":30,"currency":31,"isPaid":17,"schema":32},"7440bad55b72cd7a922afe0ec9d6727f74670a88828676f04491e7e051b902e2","8ed227848a04524352ae7695187d3483ff2b7709a047a8c845b63897d67019bd","recruiter-gtm-at-anthropic-622b228c98","Recruiter, GTM","Anthropic","https://cdn.jobboardwise.com/logo/anthropic.com","Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.","Research Services","San Francisco","United States",[],[],false,[19],"Full-time","HR","\u003Ch2>\u003Cstrong>About Anthropic\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\u003C/p>\u003Ch2>\u003Cstrong>About the role\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic is looking for a talented and driven Recruiter to partner with our Go-To-Market teams. In this role, you'll help build the teams that bring safe, frontier AI to the organizations that depend on it, spanning Sales, Partnerships, Public Sector, and Beneficial Deployments. \u003C/p>\n\u003Cp>GTM is one of the fastest-growing parts of Anthropic, and the market for this talent is competitive and fast-moving. The people we hire need an unusual combination of commercial ability and genuine domain depth. You'll own full-cycle recruiting for a portfolio of GTM roles, act as a strategic partner and trusted advisor to hiring managers and leaders, and help shape how we assess commercial talent as we scale. You'll develop a real understanding of each hiring manager's goals, the markets they serve, and the profiles that succeed against them. Many of the roles you support will be new or evolving, and you'll have significant influence over interview loops, calibration practices, sourcing strategy, and how we talk about this work to candidates who have options. You'll also be one of the people candidates remember. For many, you'll be their first real window into what it's like to work here.\u003C/p>\n\u003Cp>This is an individual contributor role with meaningful autonomy. We expect you to run your searches independently, make judgment calls without waiting for direction, and be the person your hiring managers turn to first on anything talent-related. It's a strong fit for someone who is energized by a high bar, comfortable operating in ambiguity, and genuinely interested in the mission our GTM teams are selling.\u003C/p>\n\u003Ch2>\u003Cstrong>Key responsibilities\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>Own full-cycle recruiting for GTM roles, from intake through offer and close, with a strong emphasis on candidate experience and stakeholder partnership\u003C/li>\n\u003Cli>Build and maintain strategic relationships with hiring managers and leaders, serving as their primary partner on hiring and translating their goals into calibrated role requirements, must-have skills, and assessment criteria\u003C/li>\n\u003Cli>Become an expert in the markets our GTM teams serve, understanding where the talent sits, what motivates it, and what distinguishes a strong candidate from a plausible one\u003C/li>\n\u003Cli>Build and execute sourcing strategies for competitive, specialized commercial talent, including targeted outreach campaigns, market mapping, and cultivating talent pools that don't yet exist as pipelines\u003C/li>\n\u003Cli>Advise GTM leaders on talent market conditions, compensation dynamics, pipeline health, and realistic timelines, including when a search needs to be reframed\u003C/li>\n\u003Cli>Design and refine interview loops, intake practices, and assessment approaches for roles that are new or evolving, partnering with hiring managers to define what \"good\" looks like before the first candidate enters the process\u003C/li>\n\u003Cli>Maintain an inclusive and consistent process, using structured interviews and calibrated criteria that reduce the influence of bias on hiring decisions\u003C/li>\n\u003Cli>Partner with Recruiting Operations to use pipeline data and metrics to diagnose bottlenecks and inform resourcing decisions, process improvements, and candidate experience\u003C/li>\n\u003Cli>Serve as a thought partner to hiring managers on organizational design questions, including what a team actually needs, how roles should be scoped, and where a hire will and won't solve the problem\u003C/li>\n\u003Cli>Represent Anthropic's mission, culture, and approach to AI safety authentically to commercial candidates\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>You May Be a Good Fit If You\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>Have 5+ years of full-cycle recruiting experience, including sourcing, assessing, and closing candidates, ideally with time in a high-growth technology company\u003C/li>\n\u003Cli>Have recruited for commercial or Go-To-Market functions such as Sales, Customer Success, Solutions Architecture, Partnerships, or Marketing\u003C/li>\n\u003Cli>Have a demonstrated ability to partner with and influence hiring managers and senior stakeholders, including pushing back when a search is mis-scoped\u003C/li>\n\u003Cli>Have strong written and verbal communication skills, including a knack for writing outreach that specialized candidates actually respond to\u003C/li>\n\u003Cli>Are able to use pipeline data to diagnose problems and inform decisions\u003C/li>\n\u003Cli>Are proficient with an applicant tracking system and sourcing tools such as LinkedIn Recruiter\u003C/li>\n\u003Cli>Can manage competing priorities and operate with autonomy in a fast-changing environment\u003C/li>\n\u003Cli>Have a passion for AI's potential to positively impact the world, along with a realistic assessment of its risks and limitations\u003C/li>\n\u003Cli>Bring an enthusiastic \"roll up your sleeves\" mentality and are a true team player\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Strong Candidates May Also\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>Have recruited in a market where the talent you need is scarce, expensive, and heavily courted, and have found creative ways to win\u003C/li>\n\u003Cli>Have experience with Greenhouse and with structured interviewing practices\u003C/li>\n\u003Cli>Be open to non-traditional talent strategies, and enjoy working with hiring managers who are willing to experiment\u003C/li>\n\u003Cli>Have supported technical GTM roles such as Solutions Architects or Forward Deployed Engineers, and can hold a credible conversation about technical scope\u003C/li>\n\u003Cli>Have experience building or scaling a recruiting function, process, or interview loop from an early stage\u003C/li>\n\u003Cli>Have a track record of building high-performing teams in a rapidly scaling environment\u003C/li>\n\u003C/ul>\u003Cp>The annual compensation range for this role is listed below. \u003C/p>\n\u003Cp>For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\u003C/p>\u003Cp>Annual Salary:\u003C/p>\u003Cp>$240,000—$295,000 USD\u003C/p>\u003Ch2>\u003Cstrong>Logistics\u003C/strong>\u003C/h2>\n\u003Cp>\u003Cstrong>Minimum education: \u003C/strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience\u003C/p>\n\u003Cp>\u003Cstrong>Required field of study: \u003C/strong>A field relevant to the role as demonstrated through coursework, training, or professional experience\u003C/p>\n\u003Cp>\u003Cstrong>Minimum years of experience: \u003C/strong>Years of experience required will correlate with the internal job level requirements for the position\u003C/p>\n\u003Cp>\u003Cstrong>Location-based hybrid policy:\u003C/strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\u003C/p>\n\u003Cp>\u003Cstrong>Visa sponsorship:\u003C/strong> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\u003C/p>\n\u003Cp>\u003Cstrong>For roles performing work in California: \u003C/strong>We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.\u003C/p>\n\u003Cp>\u003Cstrong>We encourage you to apply even if you do not believe you meet every single qualification.\u003C/strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\u003Cbr>\u003Cbr>\u003Cstrong>Your safety matters to us.\u003C/strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit \u003Cu>anthropic.com/careers\u003C/u> directly for confirmed position openings.\u003C/p>\n\u003Ch2>\u003Cstrong>How we're different\u003C/strong>\u003C/h2>\n\u003Cp>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\u003C/p>\n\u003Cp>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\u003C/p>\n\u003Ch2>\u003Cstrong>Come work with us!\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. \u003Cstrong>Guidance on Candidates' AI Usage:\u003C/strong> Learn about our policy for using AI in our application process.\u003C/p>","About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a talented and driven Recruiter to partner with our Go-To-Market teams. In this role, you'll help build the teams that bring safe, frontier AI to the organizations that depend on it, spanning Sales, Partnerships, Public Sector, and Beneficial Deployments. GTM is one of the fastest-growing parts of Anthropic, and the market for this talent is competitive and fast-moving. The people we hire need an unusual combination of commercial ability and genuine domain depth. You'll own full-cycle recruiting for a portfolio of GTM roles, act as a strategic partner and trusted advisor to hiring managers and leaders, and help shape how we assess commercial talent as we scale. You'll develop a real understanding of each hiring manager's goals, the markets they serve, and the profiles that succeed against them. Many of the roles you support will be new or evolving, and you'll have significant influence over interview loops, calibration practices, sourcing strategy, and how we talk about this work to candidates who have options. You'll also be one of the people candidates remember. For many, you'll be their first real window into what it's like to work here. This is an individual contributor role with meaningful autonomy. We expect you to run your searches independently, make judgment calls without waiting for direction, and be the person your hiring managers turn to first on anything talent-related. It's a strong fit for someone who is energized by a high bar, comfortable operating in ambiguity, and genuinely interested in the mission our GTM teams are selling. Key responsibilities Own full-cycle recruiting for GTM roles, from intake through offer and close, with a strong emphasis on candidate experience and stakeholder partnership Build and maintain strategic relationships with hiring managers and leaders, serving as their primary partner on hiring and translating their goals into calibrated role requirements, must-have skills, and assessment criteria Become an expert in the markets our GTM teams serve, understanding where the talent sits, what motivates it, and what distinguishes a strong candidate from a plausible one Build and execute sourcing strategies for competitive, specialized commercial talent, including targeted outreach campaigns, market mapping, and cultivating talent pools that don't yet exist as pipelines Advise GTM leaders on talent market conditions, compensation dynamics, pipeline health, and realistic timelines, including when a search needs to be reframed Design and refine interview loops, intake practices, and assessment approaches for roles that are new or evolving, partnering with hiring managers to define what \"good\" looks like before the first candidate enters the process Maintain an inclusive and consistent process, using structured interviews and calibrated criteria that reduce the influence of bias on hiring decisions Partner with Recruiting Operations to use pipeline data and metrics to diagnose bottlenecks and inform resourcing decisions, process improvements, and candidate experience Serve as a thought partner to hiring managers on organizational design questions, including what a team actually needs, how roles should be scoped, and where a hire will and won't solve the problem Represent Anthropic's mission, culture, and approach to AI safety authentically to commercial candidates You May Be a Good Fit If You Have 5+ years of full-cycle recruiting experience, including sourcing, assessing, and closing candidates, ideally with time in a high-growth technology company Have recruited for commercial or Go-To-Market functions such as Sales, Customer Success, Solutions Architecture, Partnerships, or Marketing Have a demonstrated ability to partner with and influence hiring managers and senior stakeholders, including pushing back when a search is mis-scoped Have strong written and verbal communication skills, including a knack for writing outreach that specialized candidates actually respond to Are able to use pipeline data to diagnose problems and inform decisions Are proficient with an applicant tracking system and sourcing tools such as LinkedIn Recruiter Can manage competing priorities and operate with autonomy in a fast-changing environment Have a passion for AI's potential to positively impact the world, along with a realistic assessment of its risks and limitations Bring an enthusiastic \"roll up your sleeves\" mentality and are a true team player Strong Candidates May Also Have recruited in a market where the talent you need is scarce, expensive, and heavily courted, and have found creative ways to win Have experience with Greenhouse and with structured interviewing practices Be open to non-traditional talent strategies, and enjoy working with hiring managers who are willing to experiment Have supported technical GTM roles such as Solutions Architects or Forward Deployed Engineers, and can hold a credible conversation about technical scope Have experience building or scaling a recruiting function, process, or interview loop from an early stage Have a track record of building high-performing teams in a rapidly scaling environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000—$295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.",0,1794004537000,"2026-11-06 23:37:41","2026-11-06T17:21:07-05:00","",true,240000,295000,"USD",{"jsonldValid":17,"jsonld":27},{"jobs":34},[35,52,72,90,105,122],{"id":36,"applyToken":37,"slug":38,"title":39,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":13,"country":14,"applicantCountries":40,"applicantStates":41,"remote":17,"employmentType":42,"department":43,"content_html":44,"content_text":45,"years":23,"createdAt":46,"updatedAtISO":47,"postedAtISO":48,"validThroughISO":27,"active":28,"hasSalary":28,"salaryMin":49,"salaryMax":50,"currency":31,"isPaid":17,"schema":51},"f7a05ee8e87489a454160e6fe2c3266011ca6fe1b6cc85cfc86f730cf761c59d","8d3d72b77ed025981da1678ecfb9fda4220971c974dbff86abb39fcbc8ffd6f5","product-marketing-manager-knowledge-work-enterprise-at-anthropic-47f8bc5d7c","Product Marketing Manager, Knowledge Work - Enterprise",[],[],[19],"Product","\u003Ch2>\u003Cstrong>About Anthropic\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\u003C/p>\u003Ch2>\u003Cstrong>About the role\u003C/strong>\u003C/h2>\n\u003Cp>There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them.\u003C/p>\n\u003Cp>We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations.\u003C/p>\n\u003Cp>This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it.\u003C/p>\n\u003Cp>This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude.\u003C/p>\n\u003Ch2>\u003Cstrong>Key responsibilities\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>\n\u003Cp>\u003Cstrong>Define the story that earns enterprise trust.\u003C/strong> Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Own the story for how enterprises run Claude.\u003C/strong> Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Give sellers the conviction to close.\u003C/strong> Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Help decision makers and admins make the call.\u003C/strong> Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Make our pricing and packaging easy to understand and buy.\u003C/strong> Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Make sure the message reaches the right person, in their language.\u003C/strong> Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Make our website answer buyers' questions.\u003C/strong> Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Turn scattered wins into a playbook others can run.\u003C/strong> Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Prepare admins for what's next.\u003C/strong> Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Keep every team telling the same story.\u003C/strong> Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>\"Claudify\" our own foundations.\u003C/strong> Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>\u003Cstrong>Support analyst relations.\u003C/strong> Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work.\u003C/p>\n\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Minimum qualifications\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>\n\u003Cp>Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences\u003C/p>\n\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Preferred qualifications\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>\n\u003Cp>7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience marketing to customers in regulated industries (e.g., financial services, healthcare)\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience building admin education or community programs\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience with analyst relations processes and reports (e.g., Gartner, Forrester)\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience with usage-based or consumption pricing\u003C/p>\n\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Role-specific policy:\u003C/strong> For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.\u003C/p>\u003Cp>The annual compensation range for this role is listed below. \u003C/p>\n\u003Cp>For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\u003C/p>\u003Cp>Annual Salary:\u003C/p>\u003Cp>$255,000—$320,000 USD\u003C/p>\u003Ch2>\u003Cstrong>Logistics\u003C/strong>\u003C/h2>\n\u003Cp>\u003Cstrong>Minimum education: \u003C/strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience\u003C/p>\n\u003Cp>\u003Cstrong>Required field of study: \u003C/strong>A field relevant to the role as demonstrated through coursework, training, or professional experience\u003C/p>\n\u003Cp>\u003Cstrong>Minimum years of experience: \u003C/strong>Years of experience required will correlate with the internal job level requirements for the position\u003C/p>\n\u003Cp>\u003Cstrong>Location-based hybrid policy:\u003C/strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\u003C/p>\n\u003Cp>\u003Cstrong>Visa sponsorship:\u003C/strong> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\u003C/p>\n\u003Cp>\u003Cstrong>For roles performing work in California: \u003C/strong>We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.\u003C/p>\n\u003Cp>\u003Cstrong>We encourage you to apply even if you do not believe you meet every single qualification.\u003C/strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\u003Cbr>\u003Cbr>\u003Cstrong>Your safety matters to us.\u003C/strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit \u003Cu>anthropic.com/careers\u003C/u> directly for confirmed position openings.\u003C/p>\n\u003Ch2>\u003Cstrong>How we're different\u003C/strong>\u003C/h2>\n\u003Cp>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\u003C/p>\n\u003Cp>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\u003C/p>\n\u003Ch2>\u003Cstrong>Come work with us!\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. \u003Cstrong>Guidance on Candidates' AI Usage:\u003C/strong> Learn about our policy for using AI in our application process.\u003C/p>","About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them. We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations. This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it. This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude. Key responsibilities Define the story that earns enterprise trust. Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude. Own the story for how enterprises run Claude. Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand. Give sellers the conviction to close. Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence. Help decision makers and admins make the call. Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally. Make our pricing and packaging easy to understand and buy. Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale. Make sure the message reaches the right person, in their language. Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one. Make our website answer buyers' questions. Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look. Turn scattered wins into a playbook others can run. Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy. Prepare admins for what's next. Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education. Keep every team telling the same story. Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials. \"Claudify\" our own foundations. Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work. Support analyst relations. Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work. Minimum qualifications Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences Preferred qualifications 7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning Experience marketing to customers in regulated industries (e.g., financial services, healthcare) Experience building admin education or community programs Experience with analyst relations processes and reports (e.g., Gartner, Forrester) Experience with usage-based or consumption pricing Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000—$320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.",1794264336000,"2026-11-09 23:51:05","2026-11-09T16:12:27-05:00",255000,320000,{"jsonldValid":17,"jsonld":27},{"id":53,"applyToken":54,"slug":55,"title":56,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":57,"country":58,"applicantCountries":59,"applicantStates":60,"remote":17,"employmentType":61,"department":62,"content_html":63,"content_text":64,"years":23,"createdAt":65,"updatedAtISO":66,"postedAtISO":67,"validThroughISO":27,"active":28,"hasSalary":28,"salaryMin":68,"salaryMax":69,"currency":70,"isPaid":17,"schema":71},"754cd2829059f72f9a4c86a315a53c4a8d1308bbd68dd2fea9e98b060e70ffe8","0411d2768726a8d1fe035114e572b69f4008c62de287596302eabb5411c9e9ee","google-cloud-gtm-partnerships-lead-emea-at-anthropic-a8f0df2354","Google Cloud GTM Partnerships Lead, EMEA","London","United Kingdom",[],[],[19],"Other","\u003Ch2>\u003Cstrong>About Anthropic\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\u003C/p>\u003Ch2>\u003Cstrong>About the role\u003C/strong>\u003C/h2>\n\u003Cp>As a Partnership lead, you’ll help drive our strategic growth with Google Cloud. You'll play a critical role in managing the relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem. You’ll be a part of a small team with an outsized scope - setting the strategy and rolling up your sleeves to execute it. You'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships.\u003C/p>\n\u003Ch2>\u003Cstrong>Responsibilities:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>Develop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans\u003C/li>\n\u003Cli>Develop forecasting models, build pipeline, and set revenue targets for the partnership\u003C/li>\n\u003Cli>Build and maintain cross-functional relationships across GCP\u003C/li>\n\u003Cli>Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements\u003C/li>\n\u003Cli>Create and implement scalable processes for partnership operations, including escalation management and reporting\u003C/li>\n\u003Cli>Provide strategic market intelligence and competitive insights to inform product and business strategy\u003C/li>\n\u003Cli>Design and execute sales plays and enablement programs\u003C/li>\n\u003Cli>Participate in monthly business reviews with key stakeholders\u003C/li>\n\u003Cli>Identify and develop strategic opportunities to expand partnership scope and impact\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>You may be a good fit if you have:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies\u003C/li>\n\u003Cli>Deep understanding of enterprise cloud services and AI/ML market dynamics\u003C/li>\n\u003Cli>Exceptional communication and relationship-building skills with both technical and business stakeholders\u003C/li>\n\u003Cli>Proven ability to develop and execute successful co-selling strategies at scale\u003C/li>\n\u003Cli>Excellence in strategy, business operations, and program management\u003C/li>\n\u003Cli>Ability to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution\u003C/li>\n\u003Cli>Experience working with technical products and translating complex capabilities into business value\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Strong candidates may also have:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>Direct experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company\u003C/li>\n\u003Cli>Familiarity with large language models and their applications in generative AI\u003C/li>\n\u003Cli>Previous experience working with cloud and large technology partnerships\u003C/li>\n\u003Cli>Technical background in computer science, software engineering, data science, or related field\u003C/li>\n\u003Cli>MBA or advanced degree in relevant discipline\u003C/li>\n\u003C/ul>\u003Cp>The annual compensation range for this role is listed below. \u003C/p>\n\u003Cp>For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\u003C/p>\u003Cp>Annual Salary:\u003C/p>\u003Cp>£215,000—£250,000 GBP\u003C/p>\u003Ch2>\u003Cstrong>Logistics\u003C/strong>\u003C/h2>\n\u003Cp>\u003Cstrong>Minimum education: \u003C/strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience\u003C/p>\n\u003Cp>\u003Cstrong>Required field of study: \u003C/strong>A field relevant to the role as demonstrated through coursework, training, or professional experience\u003C/p>\n\u003Cp>\u003Cstrong>Minimum years of experience: \u003C/strong>Years of experience required will correlate with the internal job level requirements for the position\u003C/p>\n\u003Cp>\u003Cstrong>Location-based hybrid policy:\u003C/strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\u003C/p>\n\u003Cp>\u003Cstrong>Visa sponsorship:\u003C/strong> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\u003C/p>\n\u003Cp>\u003Cstrong>For roles performing work in California: \u003C/strong>We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.\u003C/p>\n\u003Cp>\u003Cstrong>We encourage you to apply even if you do not believe you meet every single qualification.\u003C/strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\u003Cbr>\u003Cbr>\u003Cstrong>Your safety matters to us.\u003C/strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit \u003Cu>anthropic.com/careers\u003C/u> directly for confirmed position openings.\u003C/p>\n\u003Ch2>\u003Cstrong>How we're different\u003C/strong>\u003C/h2>\n\u003Cp>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\u003C/p>\n\u003Cp>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\u003C/p>\n\u003Ch2>\u003Cstrong>Come work with us!\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. \u003Cstrong>Guidance on Candidates' AI Usage:\u003C/strong> Learn about our policy for using AI in our application process.\u003C/p>","About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partnership lead, you’ll help drive our strategic growth with Google Cloud. You'll play a critical role in managing the relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem. You’ll be a part of a small team with an outsized scope - setting the strategy and rolling up your sleeves to execute it. You'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Responsibilities: Develop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans Develop forecasting models, build pipeline, and set revenue targets for the partnership Build and maintain cross-functional relationships across GCP Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements Create and implement scalable processes for partnership operations, including escalation management and reporting Provide strategic market intelligence and competitive insights to inform product and business strategy Design and execute sales plays and enablement programs Participate in monthly business reviews with key stakeholders Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: 8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies Deep understanding of enterprise cloud services and AI/ML market dynamics Exceptional communication and relationship-building skills with both technical and business stakeholders Proven ability to develop and execute successful co-selling strategies at scale Excellence in strategy, business operations, and program management Ability to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution Experience working with technical products and translating complex capabilities into business value Strong candidates may also have: Direct experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company Familiarity with large language models and their applications in generative AI Previous experience working with cloud and large technology partnerships Technical background in computer science, software engineering, data science, or related field MBA or advanced degree in relevant discipline The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £215,000—£250,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.",1793820462000,"2026-11-11 18:32:14","2026-11-11T07:28:42-05:00",215000,250000,"GBP",{"jsonldValid":17,"jsonld":27},{"id":73,"applyToken":74,"slug":75,"title":76,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":13,"country":14,"applicantCountries":77,"applicantStates":78,"remote":17,"employmentType":79,"department":81,"content_html":82,"content_text":83,"years":23,"createdAt":84,"updatedAtISO":85,"postedAtISO":86,"validThroughISO":27,"active":28,"hasSalary":28,"salaryMin":87,"salaryMax":88,"currency":31,"isPaid":17,"schema":89},"841dc8d2e382618cdd432e9f16e2a4801aca62ee50ba6fccfa2f7c879338b73f","6c2fbfd03c71311bc05580389dcd7b4f1f8fef72cc1f22da1b3eceefa9f5b860","strategy-and-operations-fde-at-anthropic-5d78862ff2","GTM Strategy & Operations, FDE",[],[],[80],"Contract","Operations","\u003Ch2>\u003Cstrong>About Anthropic\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\u003C/p>\u003Ch2>\u003Cstrong>About the role\u003C/strong>\u003C/h2>\n\u003Cp>Forward Deployed Engineering (FDE) embeds with our most strategic customers to build production AI systems on Claude. The team takes on work where no playbook exists yet, turns what works into repeatable patterns for partners and our field teams, and brings what it learns back to Product and Research. Demand for FDE is well ahead of the team's capacity, and the team is growing quickly across the Americas, Europe and Asia.\u003C/p>\n\u003Cp>We're hiring a dedicated Strategy & Operations Lead for FDE. You'll be the strategy partner to FDE leadership and own the plan: headcount and capacity, the mix of work the team takes on, how engagements are priced and measured, and how more of the work moves to partners. You'll run the business reviews and build the reporting leadership uses to make these calls.\u003C/p>\n\u003Cp>You'll sit on our GTM Strategy & Operations team, dedicated full time to FDE. You'll work closely with Finance, Deal Desk, Legal, Revenue Operations, Partnerships and Applied AI, and with the FDE program leads who run pre-sales and delivery. This is a hands-on role. You'll build the models and dashboards yourself and use Claude to automate as much of the reporting as you can.\u003C/p>\n\u003Ch2>\u003Cstrong>Key responsibilities:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Own the plan.\u003C/strong> Build FDE's annual and quarterly plan: headcount and hiring by region and role, capacity, utilization, and the mix of commercial, research and mission-driven engagements.\u003C/li>\n\u003Cli>\u003Cstrong>Model demand and capacity.\u003C/strong> Build the demand, capacity and staffing models behind the plan, with scenarios leadership can use for hiring and prioritization decisions.\u003C/li>\n\u003Cli>\u003Cstrong>Run the business reviews.\u003C/strong> Lead FDE's monthly and quarterly reviews. Set KPIs with FDE leadership, own the scorecard, and write the materials for GTM and company leadership.\u003C/li>\n\u003Cli>\u003Cstrong>Build the reporting.\u003C/strong> Work with Revenue Operations and Data Science to get engagement, staffing and outcome data into our systems so reporting runs without manual work. Measure what engagements lead to: production launches, consumption, expansion, and patterns partners reuse.\u003C/li>\n\u003Cli>\u003Cstrong>Shape the commercial model.\u003C/strong> Partner with Finance, Deal Desk and Legal on how FDE engagements are priced, packaged, discounted and contracted, and track the economics of the portfolio.\u003C/li>\n\u003Cli>\u003Cstrong>Scale through partners.\u003C/strong> Build the plan and the economics for moving more work to delivery partners: which engagements partners own, co-deliver or get Anthropic advice on, what capacity they need, and how we measure their quality and cost.\u003C/li>\n\u003Cli>\u003Cstrong>Design the org.\u003C/strong> Work with FDE leadership and People on new roles, manager spans and where new headcount lands as the team grows.\u003C/li>\n\u003Cli>\u003Cstrong>Lead cross-functional projects.\u003C/strong> Take on questions that span Sales, Applied AI, Customer Success, Product and Research, from defining the problem through to a decision and a working process.\u003C/li>\n\u003Cli>\u003Cstrong>Automate with Claude.\u003C/strong> Use Claude Code and agents to build and run the models, dashboards and workflows this role depends on.\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Minimum qualification:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>Have worked in strategy and operations, business operations, strategic finance or consulting, including direct work with a professional services, implementation, solutions engineering or forward deployed team\u003C/li>\n\u003Cli>Understand how a services business makes and loses money: utilization, staffing mix, rates, backlog and margin, and how they connect to customer outcomes\u003C/li>\n\u003Cli>Can build a capacity or staffing model from scratch, explain every assumption in it, and pull the data yourself with SQL\u003C/li>\n\u003Cli>Have run planning cycles and business reviews for a senior leader and written the materials yourself\u003C/li>\n\u003Cli>Have taken an unclear question to a recommendation, a decision and a process that other teams still use\u003C/li>\n\u003Cli>Earn the trust of senior technical and commercial leaders and can influence them without direct authority\u003C/li>\n\u003Cli>Are comfortable working fast with imperfect data and simple processes that you improve as you go\u003C/li>\n\u003Cli>Use AI tools in your own work today and want to push that much further\u003C/li>\n\u003Cli>Are excited about Anthropic's mission to build AI that is safe and beneficial\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Preferred qualification:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>10+ years in GTM strategy and operations, business operations or consulting\u003C/li>\n\u003Cli>Built the operations of a professional services or FDE team through a period of fast growth\u003C/li>\n\u003Cli>Worked on services pricing, statements of work and deal terms with Finance and Legal\u003C/li>\n\u003Cli>Built or managed delivery partner programs, including subcontracting, co-delivery and partner economics\u003C/li>\n\u003Cli>Experience in a consumption or usage-based business, including tying services work to product usage\u003C/li>\n\u003Cli>Enough technical fluency to talk with engineers about how LLM applications are built (agents, evals, MCP)\u003C/li>\n\u003Cli>Experience with Salesforce and professional services automation (PSA) tools\u003C/li>\n\u003Cli>Experience at an AI, cloud or developer infrastructure company\u003C/li>\n\u003Cli>Experience preparing materials for executive and board audiences\u003C/li>\n\u003C/ul>\u003Cp>The annual compensation range for this role is listed below. \u003C/p>\n\u003Cp>For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\u003C/p>\u003Cp>Annual Salary:\u003C/p>\u003Cp>$270,000—$310,000 USD\u003C/p>\u003Ch2>\u003Cstrong>Logistics\u003C/strong>\u003C/h2>\n\u003Cp>\u003Cstrong>Minimum education: \u003C/strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience\u003C/p>\n\u003Cp>\u003Cstrong>Required field of study: \u003C/strong>A field relevant to the role as demonstrated through coursework, training, or professional experience\u003C/p>\n\u003Cp>\u003Cstrong>Minimum years of experience: \u003C/strong>Years of experience required will correlate with the internal job level requirements for the position\u003C/p>\n\u003Cp>\u003Cstrong>Location-based hybrid policy:\u003C/strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\u003C/p>\n\u003Cp>\u003Cstrong>Visa sponsorship:\u003C/strong> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\u003C/p>\n\u003Cp>\u003Cstrong>For roles performing work in California: \u003C/strong>We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.\u003C/p>\n\u003Cp>\u003Cstrong>We encourage you to apply even if you do not believe you meet every single qualification.\u003C/strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\u003Cbr>\u003Cbr>\u003Cstrong>Your safety matters to us.\u003C/strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit \u003Cu>anthropic.com/careers\u003C/u> directly for confirmed position openings.\u003C/p>\n\u003Ch2>\u003Cstrong>How we're different\u003C/strong>\u003C/h2>\n\u003Cp>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\u003C/p>\n\u003Cp>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\u003C/p>\n\u003Ch2>\u003Cstrong>Come work with us!\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. \u003Cstrong>Guidance on Candidates' AI Usage:\u003C/strong> Learn about our policy for using AI in our application process.\u003C/p>","About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Forward Deployed Engineering (FDE) embeds with our most strategic customers to build production AI systems on Claude. The team takes on work where no playbook exists yet, turns what works into repeatable patterns for partners and our field teams, and brings what it learns back to Product and Research. Demand for FDE is well ahead of the team's capacity, and the team is growing quickly across the Americas, Europe and Asia. We're hiring a dedicated Strategy & Operations Lead for FDE. You'll be the strategy partner to FDE leadership and own the plan: headcount and capacity, the mix of work the team takes on, how engagements are priced and measured, and how more of the work moves to partners. You'll run the business reviews and build the reporting leadership uses to make these calls. You'll sit on our GTM Strategy & Operations team, dedicated full time to FDE. You'll work closely with Finance, Deal Desk, Legal, Revenue Operations, Partnerships and Applied AI, and with the FDE program leads who run pre-sales and delivery. This is a hands-on role. You'll build the models and dashboards yourself and use Claude to automate as much of the reporting as you can. Key responsibilities: Own the plan. Build FDE's annual and quarterly plan: headcount and hiring by region and role, capacity, utilization, and the mix of commercial, research and mission-driven engagements. Model demand and capacity. Build the demand, capacity and staffing models behind the plan, with scenarios leadership can use for hiring and prioritization decisions. Run the business reviews. Lead FDE's monthly and quarterly reviews. Set KPIs with FDE leadership, own the scorecard, and write the materials for GTM and company leadership. Build the reporting. Work with Revenue Operations and Data Science to get engagement, staffing and outcome data into our systems so reporting runs without manual work. Measure what engagements lead to: production launches, consumption, expansion, and patterns partners reuse. Shape the commercial model. Partner with Finance, Deal Desk and Legal on how FDE engagements are priced, packaged, discounted and contracted, and track the economics of the portfolio. Scale through partners. Build the plan and the economics for moving more work to delivery partners: which engagements partners own, co-deliver or get Anthropic advice on, what capacity they need, and how we measure their quality and cost. Design the org. Work with FDE leadership and People on new roles, manager spans and where new headcount lands as the team grows. Lead cross-functional projects. Take on questions that span Sales, Applied AI, Customer Success, Product and Research, from defining the problem through to a decision and a working process. Automate with Claude. Use Claude Code and agents to build and run the models, dashboards and workflows this role depends on. Minimum qualification: Have worked in strategy and operations, business operations, strategic finance or consulting, including direct work with a professional services, implementation, solutions engineering or forward deployed team Understand how a services business makes and loses money: utilization, staffing mix, rates, backlog and margin, and how they connect to customer outcomes Can build a capacity or staffing model from scratch, explain every assumption in it, and pull the data yourself with SQL Have run planning cycles and business reviews for a senior leader and written the materials yourself Have taken an unclear question to a recommendation, a decision and a process that other teams still use Earn the trust of senior technical and commercial leaders and can influence them without direct authority Are comfortable working fast with imperfect data and simple processes that you improve as you go Use AI tools in your own work today and want to push that much further Are excited about Anthropic's mission to build AI that is safe and beneficial Preferred qualification: 10+ years in GTM strategy and operations, business operations or consulting Built the operations of a professional services or FDE team through a period of fast growth Worked on services pricing, statements of work and deal terms with Finance and Legal Built or managed delivery partner programs, including subcontracting, co-delivery and partner economics Experience in a consumption or usage-based business, including tying services work to product usage Enough technical fluency to talk with engineers about how LLM applications are built (agents, evals, MCP) Experience with Salesforce and professional services automation (PSA) tools Experience at an AI, cloud or developer infrastructure company Experience preparing materials for executive and board audiences The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000—$310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.",1790811642000,"2026-11-11 12:27:26","2026-11-10T17:25:46-05:00",270000,310000,{"jsonldValid":17,"jsonld":27},{"id":91,"applyToken":92,"slug":93,"title":94,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":13,"country":14,"applicantCountries":95,"applicantStates":96,"remote":17,"employmentType":97,"department":62,"content_html":98,"content_text":99,"years":23,"createdAt":100,"updatedAtISO":101,"postedAtISO":102,"validThroughISO":27,"active":28,"hasSalary":28,"salaryMin":87,"salaryMax":103,"currency":31,"isPaid":17,"schema":104},"33d12f4c4d359950c495da4eafe1c914c28279108b303a544ded869c5236f75c","307c5416f5c988e70056b6e9040ca7872c4916d20aaa331b80bd28ece23e6742","business-systems-analyst-gtm-systems-at-anthropic-4740f884e3","Business Systems Analyst, GTM Systems",[],[],[19],"\u003Ch2>\u003Cstrong>About Anthropic\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\u003C/p>\u003Ch2>About the role\u003C/h2>\n\u003Cp>Anthropic's go-to-market engine runs on Salesforce: how leads become pipeline, how deals are tracked and forecast, how customers renew and expand, and how partners work alongside our sellers. As a Business Systems Analyst, you'll be responsible for how one of those core motions is represented in system, and a trusted partner to GTM leadership when they want to change how it works.\u003C/p>\n\u003Cp>We're looking for someone who operates at the intersection of three things: a strategist who can sit with GTM leaders and shape how they want to understand their part of the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code.\u003C/p>\n\u003Ch2>Where you might sit\u003C/h2>\n\u003Cp>We're hiring across several parts of the customer lifecycle. Placement depends on your background and where you can have the most impact.\u003C/p>\n\u003Cp>\u003Cstrong>Opportunity Acceleration:\u003C/strong> Owns how deals are tracked, forecast, and credited in Salesforce, from stage design and forecasting to the ownership and team structures behind them. You'll partner with sales leadership to make pipeline something everyone can trust and sellers can work quickly.\u003C/p>\n\u003Cp>\u003Cstrong>Lead-to-Pipeline:\u003C/strong> Owns how leads, inbound demand, and BDR outreach become qualified pipeline: lifecycle stages, routing and ownership, handoff rules, and the tools BDRs and sellers work in every day. You'll partner with BDR, marketing, and sales leadership to make the path from first touch to open opportunity faster and easier to measure.\u003C/p>\n\u003Cp>\u003Cstrong>Post-Sales:\u003C/strong> Owns the systems behind renewals, expansion, and customer coverage: how post-sale opportunities are created, forecast, and worked by account management and customer success. You'll give post-sales leaders a clear, trustworthy view of the customer base and the tools to act on it.\u003C/p>\n\u003Cp>\u003Cstrong>Partnerships:\u003C/strong> Owns how partner-sourced and co-sell deals are registered, attributed, and worked alongside our sellers, including the partner-facing processes and reporting leadership relies on. You'll help turn a fast-growing channel into a motion the business can measure and scale.\u003C/p>\n\u003Ch2>Key responsibilities\u003C/h2>\n\u003Cul>\n\u003Cli>\n\u003Cp>Own the design of your core funnel domain in Salesforce: lifecycle stages, process, exit and handoff criteria, key fields, and the automation and guardrails that keep the data trustworthy\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Partner with GTM leadership on how their motion runs and how they want to see it, and make the tradeoff calls on what teams enter versus what insight that data unlocks\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Partner with RevOps to systematize how GTM teams are structured, assigned, and credited: ownership, routing, coverage, splits, and the territory and role structures those depend on\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Operationalize the methodology in system, turning frameworks and process discipline into fields, validation, scoring, and in-context guidance that people actually use\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Act as data-model steward for your domain and its closest neighbors: the named approver for new fields, automation, and integrations touching those objects, and the keeper of why each one exists\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Own the seams to the neighboring stages of the customer lifecycle (lead handoff, opportunity, quote-to-cash, renewal, partner attribution) so the experience is coherent end to end even where the build sits with another team\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Evaluate and configure tooling that accelerates the motion: routing, activity capture, sequencing, deal inspection, account planning\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Run discovery, UAT, enablement, and adoption measurement for everything you ship; help raise the bar for how BSA work is done on this team\u003C/p>\n\u003C/li>\n\u003C/ul>\n\u003Ch2>Minimum qualifications\u003C/h2>\n\u003Cul>\n\u003Cli>\n\u003Cp>Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of work in a core funnel domain such as lead management, opportunity and pipeline, renewals and account management, or partner channel\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience designing and rolling out a lifecycle, process model, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Credibility with GTM stakeholders: you've been in the pipeline review, forecast call, or planning session, and you can push back when there's a better answer\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, assignment and routing, page and Path design) and specs that make the handoff to developers clean\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Crisp communication across GTM teams, leadership, RevOps, and engineers, adjusting altitude for each\u003C/p>\n\u003C/li>\n\u003C/ul>\n\u003Ch2>Preferred qualifications\u003C/h2>\n\u003Cul>\n\u003Cli>\n\u003Cp>5+ years of experience in GTM/Revenue systems roles\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Salesforce Administrator certification\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, routing, splits, territory) and turning those decisions into working system design\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience across more than one part of the customer lifecycle, such as lead, opportunity, renewal, or partner\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus\u003C/p>\n\u003C/li>\n\u003C/ul>\u003Cp>The annual compensation range for this role is listed below. \u003C/p>\n\u003Cp>For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\u003C/p>\u003Cp>Annual Salary:\u003C/p>\u003Cp>$270,000—$315,000 USD\u003C/p>\u003Ch2>\u003Cstrong>Logistics\u003C/strong>\u003C/h2>\n\u003Cp>\u003Cstrong>Minimum education: \u003C/strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience\u003C/p>\n\u003Cp>\u003Cstrong>Required field of study: \u003C/strong>A field relevant to the role as demonstrated through coursework, training, or professional experience\u003C/p>\n\u003Cp>\u003Cstrong>Minimum years of experience: \u003C/strong>Years of experience required will correlate with the internal job level requirements for the position\u003C/p>\n\u003Cp>\u003Cstrong>Location-based hybrid policy:\u003C/strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\u003C/p>\n\u003Cp>\u003Cstrong>Visa sponsorship:\u003C/strong> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\u003C/p>\n\u003Cp>\u003Cstrong>For roles performing work in California: \u003C/strong>We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.\u003C/p>\n\u003Cp>\u003Cstrong>We encourage you to apply even if you do not believe you meet every single qualification.\u003C/strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\u003Cbr>\u003Cbr>\u003Cstrong>Your safety matters to us.\u003C/strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit \u003Cu>anthropic.com/careers\u003C/u> directly for confirmed position openings.\u003C/p>\n\u003Ch2>\u003Cstrong>How we're different\u003C/strong>\u003C/h2>\n\u003Cp>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\u003C/p>\n\u003Cp>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\u003C/p>\n\u003Ch2>\u003Cstrong>Come work with us!\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. \u003Cstrong>Guidance on Candidates' AI Usage:\u003C/strong> Learn about our policy for using AI in our application process.\u003C/p>","About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market engine runs on Salesforce: how leads become pipeline, how deals are tracked and forecast, how customers renew and expand, and how partners work alongside our sellers. As a Business Systems Analyst, you'll be responsible for how one of those core motions is represented in system, and a trusted partner to GTM leadership when they want to change how it works. We're looking for someone who operates at the intersection of three things: a strategist who can sit with GTM leaders and shape how they want to understand their part of the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code. Where you might sit We're hiring across several parts of the customer lifecycle. Placement depends on your background and where you can have the most impact. Opportunity Acceleration: Owns how deals are tracked, forecast, and credited in Salesforce, from stage design and forecasting to the ownership and team structures behind them. You'll partner with sales leadership to make pipeline something everyone can trust and sellers can work quickly. Lead-to-Pipeline: Owns how leads, inbound demand, and BDR outreach become qualified pipeline: lifecycle stages, routing and ownership, handoff rules, and the tools BDRs and sellers work in every day. You'll partner with BDR, marketing, and sales leadership to make the path from first touch to open opportunity faster and easier to measure. Post-Sales: Owns the systems behind renewals, expansion, and customer coverage: how post-sale opportunities are created, forecast, and worked by account management and customer success. You'll give post-sales leaders a clear, trustworthy view of the customer base and the tools to act on it. Partnerships: Owns how partner-sourced and co-sell deals are registered, attributed, and worked alongside our sellers, including the partner-facing processes and reporting leadership relies on. You'll help turn a fast-growing channel into a motion the business can measure and scale. Key responsibilities Own the design of your core funnel domain in Salesforce: lifecycle stages, process, exit and handoff criteria, key fields, and the automation and guardrails that keep the data trustworthy Partner with GTM leadership on how their motion runs and how they want to see it, and make the tradeoff calls on what teams enter versus what insight that data unlocks Partner with RevOps to systematize how GTM teams are structured, assigned, and credited: ownership, routing, coverage, splits, and the territory and role structures those depend on Operationalize the methodology in system, turning frameworks and process discipline into fields, validation, scoring, and in-context guidance that people actually use Act as data-model steward for your domain and its closest neighbors: the named approver for new fields, automation, and integrations touching those objects, and the keeper of why each one exists Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification Own the seams to the neighboring stages of the customer lifecycle (lead handoff, opportunity, quote-to-cash, renewal, partner attribution) so the experience is coherent end to end even where the build sits with another team Evaluate and configure tooling that accelerates the motion: routing, activity capture, sequencing, deal inspection, account planning Run discovery, UAT, enablement, and adoption measurement for everything you ship; help raise the bar for how BSA work is done on this team Minimum qualifications Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of work in a core funnel domain such as lead management, opportunity and pipeline, renewals and account management, or partner channel Experience designing and rolling out a lifecycle, process model, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption Credibility with GTM stakeholders: you've been in the pipeline review, forecast call, or planning session, and you can push back when there's a better answer Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, assignment and routing, page and Path design) and specs that make the handoff to developers clean Crisp communication across GTM teams, leadership, RevOps, and engineers, adjusting altitude for each Preferred qualifications 5+ years of experience in GTM/Revenue systems roles Salesforce Administrator certification Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, routing, splits, territory) and turning those decisions into working system design Experience across more than one part of the customer lifecycle, such as lead, opportunity, renewal, or partner Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000—$315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.",1790702531000,"2026-11-06 23:37:38","2026-09-29T13:12:21-04:00",315000,{"jsonldValid":17,"jsonld":27},{"id":106,"applyToken":107,"slug":108,"title":109,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":110,"country":111,"applicantCountries":112,"applicantStates":113,"remote":17,"employmentType":114,"department":20,"content_html":115,"content_text":116,"years":23,"createdAt":117,"updatedAtISO":118,"postedAtISO":119,"validThroughISO":27,"active":28,"hasSalary":17,"salaryMin":23,"salaryMax":23,"currency":120,"isPaid":17,"schema":121},"f2c40f36298cfdf08a7d1e0ec482452a0352258c3c3f0c556a838971f39fca12","f0be9819635aee4531ce62024d8f466bbb710797e4757f0b42bb522f063effdf","recruiter-go-to-market-gtm-at-anthropic-248f46f2bd","Recruiter, Go-To-Market (GTM)","Tokyo","Japan",[],[],[19],"\u003Ch2>\u003Cstrong>About Anthropic\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\u003C/p>\u003Cp>Anthropic is seeking an experienced GTM Recruiter to join our recruiting team. In this role, you'll partner closely with GTM leaders to hire the people who will shape how Anthropic operates, grows, and delivers on its mission. \u003C/p>\n\u003Cp>This role requires someone who can assess not just functional expertise, but also alignment with our values and the adaptability required to thrive in a fast-paced, high-growth environment.\u003C/p>\n\u003Ch2>\u003Cstrong>Responsibilities:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>\n\u003Cp>Lead end to end recruiting for GTM roles\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Develop and execute strategic recruiting plans, including competitive mapping, targeted sourcing, and building long-term talent pipelines\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Build trusted partnerships with GTM leadership to understand business priorities, team structures, ideal candidate profiles, and required competencies across different functions\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Create exceptional candidate experiences that showcase Anthropic's mission, growth trajectory, and unique growth opportunity for GTM professionals\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Design and implement scalable recruiting processes that effectively assess functional expertise, business acumen, and cultural alignment\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Track recruiting metrics and use data to identify bottlenecks, optimize processes, and maintain a high-quality hiring bar\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Coach hiring managers on recruiting best practices, interview techniques, and strategies for building diverse, high-performing teams\u003C/p>\n\u003C/li>\n\u003C/ul>\n\n\u003Ch2>\u003Cstrong>You may be a good fit if you:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>\n\u003Cp>Have 5+ years of full-cycle recruiting experience with meaningful exposure to GTM functions\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Are comfortable working in ambiguous environments and help hiring teams build structure and excellent recruiting practices \u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Have strong stakeholder management skills - you can share examples of frameworks you've built that drive hiring while coaching teams to improve their recruiting\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Are highly organized with strong attention to detail - you stay on top of data integrity and maintain regular touchpoints with candidates and hiring managers\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Are comfortable analyzing recruiting data and can connect key metrics to monitor recruiting health and maintain a great hiring experience\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Are passionate about AI's potential to positively impact the world while understanding its risks and limitations\u003C/p>\n\u003C/li>\n\u003C/ul>\u003Ch2>\u003Cstrong>Logistics\u003C/strong>\u003C/h2>\n\u003Cp>\u003Cstrong>Minimum education: \u003C/strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience\u003C/p>\n\u003Cp>\u003Cstrong>Required field of study: \u003C/strong>A field relevant to the role as demonstrated through coursework, training, or professional experience\u003C/p>\n\u003Cp>\u003Cstrong>Minimum years of experience: \u003C/strong>Years of experience required will correlate with the internal job level requirements for the position\u003C/p>\n\u003Cp>\u003Cstrong>Location-based hybrid policy:\u003C/strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\u003C/p>\n\u003Cp>\u003Cstrong>Visa sponsorship:\u003C/strong> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\u003C/p>\n\u003Cp>\u003Cstrong>For roles performing work in California: \u003C/strong>We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.\u003C/p>\n\u003Cp>\u003Cstrong>We encourage you to apply even if you do not believe you meet every single qualification.\u003C/strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\u003Cbr>\u003Cbr>\u003Cstrong>Your safety matters to us.\u003C/strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit \u003Cu>anthropic.com/careers\u003C/u> directly for confirmed position openings.\u003C/p>\n\u003Ch2>\u003Cstrong>How we're different\u003C/strong>\u003C/h2>\n\u003Cp>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\u003C/p>\n\u003Cp>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\u003C/p>\n\u003Ch2>\u003Cstrong>Come work with us!\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. \u003Cstrong>Guidance on Candidates' AI Usage:\u003C/strong> Learn about our policy for using AI in our application process.\u003C/p>","About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is seeking an experienced GTM Recruiter to join our recruiting team. In this role, you'll partner closely with GTM leaders to hire the people who will shape how Anthropic operates, grows, and delivers on its mission. This role requires someone who can assess not just functional expertise, but also alignment with our values and the adaptability required to thrive in a fast-paced, high-growth environment. Responsibilities: Lead end to end recruiting for GTM roles Develop and execute strategic recruiting plans, including competitive mapping, targeted sourcing, and building long-term talent pipelines Build trusted partnerships with GTM leadership to understand business priorities, team structures, ideal candidate profiles, and required competencies across different functions Create exceptional candidate experiences that showcase Anthropic's mission, growth trajectory, and unique growth opportunity for GTM professionals Design and implement scalable recruiting processes that effectively assess functional expertise, business acumen, and cultural alignment Track recruiting metrics and use data to identify bottlenecks, optimize processes, and maintain a high-quality hiring bar Coach hiring managers on recruiting best practices, interview techniques, and strategies for building diverse, high-performing teams You may be a good fit if you: Have 5+ years of full-cycle recruiting experience with meaningful exposure to GTM functions Are comfortable working in ambiguous environments and help hiring teams build structure and excellent recruiting practices Have strong stakeholder management skills - you can share examples of frameworks you've built that drive hiring while coaching teams to improve their recruiting Are highly organized with strong attention to detail - you stay on top of data integrity and maintain regular touchpoints with candidates and hiring managers Are comfortable analyzing recruiting data and can connect key metrics to monitor recruiting health and maintain a great hiring experience Are passionate about AI's potential to positively impact the world while understanding its risks and limitations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.",1790587222000,"2026-11-06 23:37:43","2026-09-28T06:24:30-04:00","JPY",{"jsonldValid":17,"jsonld":27},{"id":123,"applyToken":124,"slug":125,"title":126,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":127,"country":128,"applicantCountries":129,"applicantStates":130,"remote":17,"employmentType":131,"department":62,"content_html":132,"content_text":133,"years":23,"createdAt":134,"updatedAtISO":101,"postedAtISO":135,"validThroughISO":27,"active":28,"hasSalary":17,"salaryMin":23,"salaryMax":23,"currency":136,"isPaid":17,"schema":137},"1edf1fd1dd765fb523e7b4da3bb5b0548649c4d1bee2482ea9bc1521096e3177","695e5621678b6456e224af68daa9bc839dd91b7dc80f5dc496ebd728066a3791","head-of-apac-gtm-enablement-at-anthropic-184738f036","APAC GTM Enablement Lead","Sydney","Australia",[],[],[19],"\u003Ch2>\u003Cstrong>About Anthropic\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\u003C/p>\u003Cp>\u003Cstrong>About the role\u003C/strong>\u003C/p>\n\u003Cp>Anthropic’s APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. As we scale in APAC, we are establishing an initial in-region enablement presence, based in Sydney and supporting the field across the region.\u003C/p>\n\u003Cp>As Enablement Lead, you will be hands-on in getting the APAC field ready: onboarding, ongoing skill development, manager coaching support and launch readiness, across GTM functions, not just sales. You will spend most of your time in the room, running sessions, building programmes and working directly with sellers and managers, in the time zones and languages where customer conversations happen.\u003C/p>\n\u003Cp>This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to adapt it for APAC, deliver it across the region, and feed what you learn back into the international and global programme.\u003C/p>\n\u003Cp>How we work: adults learn by doing, so we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell.\u003C/p>\n\u003Cp>This takes creativity and a solid understanding of how adults learn, applied at speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable: endless practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content.\u003C/p>\n\u003Cp>\u003Cstrong>Key responsibilities\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Set up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a feedback loop into the global programme\u003C/li>\n\u003Cli>Adapt the international portfolio for APAC, where content for several markets needs to be written and translated ahead of delivery\u003C/li>\n\u003Cli>Personally design and facilitate deal walkthroughs, role-plays and customer-conversation rehearsal, favouring practice over presentation\u003C/li>\n\u003Cli>Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows\u003C/li>\n\u003Cli>Own launch readiness for the region, so that when a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else\u003C/li>\n\u003Cli>Build the measurement habit: track what the field does differently afterwards, not content shipped or attendance\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Minimum qualifications\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>8+ years in GTM enablement, sales productivity or similar roles, including experience leading or running enablement programmes\u003C/li>\n\u003Cli>Experience delivering GTM enablement in APAC, ideally across more than one of the region’s markets\u003C/li>\n\u003Cli>Experience influencing beyond your own team or region, such as a programme adopted elsewhere or a senior stakeholder whose decision you changed\u003C/li>\n\u003Cli>Hands-on track record designing and running practice-first enablement, measured by changes in field behaviour\u003C/li>\n\u003Cli>A working understanding of how adults learn, and comfort helping experienced sellers unlearn pre-AI habits\u003C/li>\n\u003Cli>Creativity with AI in your craft: personalised practice, real-deal scenarios and fast feedback rather than more content\u003C/li>\n\u003Cli>Experience owning programmes end to end, from design through delivery and measurement\u003C/li>\n\u003Cli>Experience enabling a field across languages and cultures, and knowing what breaks when English-first content ships as-is\u003C/li>\n\u003Cli>Comfort working with sales leaders as a peer, including pipeline reviews, deal inspection and forecast conversations\u003C/li>\n\u003Cli>Good judgement on when to adapt global programmes and when to adopt them as-is\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Strong candidates may also\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Have held both a global and an APAC enablement role\u003C/li>\n\u003Cli>Have run enablement delivered across multiple APAC markets\u003C/li>\n\u003Cli>Have helped build or scale an enablement function\u003C/li>\n\u003Cli>Have carried a quota or led sellers earlier in their career\u003C/li>\n\u003Cli>Have enablement experience in AI, developer platforms or technical products sold to both executives and builders\u003C/li>\n\u003Cli>Have built manager or coaching programmes, not just individual-contributor enablement\u003C/li>\n\u003C/ul>\u003Ch2>\u003Cstrong>Logistics\u003C/strong>\u003C/h2>\n\u003Cp>\u003Cstrong>Minimum education: \u003C/strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience\u003C/p>\n\u003Cp>\u003Cstrong>Required field of study: \u003C/strong>A field relevant to the role as demonstrated through coursework, training, or professional experience\u003C/p>\n\u003Cp>\u003Cstrong>Minimum years of experience: \u003C/strong>Years of experience required will correlate with the internal job level requirements for the position\u003C/p>\n\u003Cp>\u003Cstrong>Location-based hybrid policy:\u003C/strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\u003C/p>\n\u003Cp>\u003Cstrong>Visa sponsorship:\u003C/strong> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\u003C/p>\n\u003Cp>\u003Cstrong>For roles performing work in California: \u003C/strong>We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.\u003C/p>\n\u003Cp>\u003Cstrong>We encourage you to apply even if you do not believe you meet every single qualification.\u003C/strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\u003Cbr>\u003Cbr>\u003Cstrong>Your safety matters to us.\u003C/strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit \u003Cu>anthropic.com/careers\u003C/u> directly for confirmed position openings.\u003C/p>\n\u003Ch2>\u003Cstrong>How we're different\u003C/strong>\u003C/h2>\n\u003Cp>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\u003C/p>\n\u003Cp>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\u003C/p>\n\u003Ch2>\u003Cstrong>Come work with us!\u003C/strong>\u003C/h2>\n\u003Cp>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. \u003Cstrong>Guidance on Candidates' AI Usage:\u003C/strong> Learn about our policy for using AI in our application process.\u003C/p>","About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. As we scale in APAC, we are establishing an initial in-region enablement presence, based in Sydney and supporting the field across the region. As Enablement Lead, you will be hands-on in getting the APAC field ready: onboarding, ongoing skill development, manager coaching support and launch readiness, across GTM functions, not just sales. You will spend most of your time in the room, running sessions, building programmes and working directly with sellers and managers, in the time zones and languages where customer conversations happen. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to adapt it for APAC, deliver it across the region, and feed what you learn back into the international and global programme. How we work: adults learn by doing, so we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a solid understanding of how adults learn, applied at speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable: endless practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities Set up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a feedback loop into the global programme Adapt the international portfolio for APAC, where content for several markets needs to be written and translated ahead of delivery Personally design and facilitate deal walkthroughs, role-plays and customer-conversation rehearsal, favouring practice over presentation Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows Own launch readiness for the region, so that when a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else Build the measurement habit: track what the field does differently afterwards, not content shipped or attendance Minimum qualifications 8+ years in GTM enablement, sales productivity or similar roles, including experience leading or running enablement programmes Experience delivering GTM enablement in APAC, ideally across more than one of the region’s markets Experience influencing beyond your own team or region, such as a programme adopted elsewhere or a senior stakeholder whose decision you changed Hands-on track record designing and running practice-first enablement, measured by changes in field behaviour A working understanding of how adults learn, and comfort helping experienced sellers unlearn pre-AI habits Creativity with AI in your craft: personalised practice, real-deal scenarios and fast feedback rather than more content Experience owning programmes end to end, from design through delivery and measurement Experience enabling a field across languages and cultures, and knowing what breaks when English-first content ships as-is Comfort working with sales leaders as a peer, including pipeline reviews, deal inspection and forecast conversations Good judgement on when to adapt global programmes and when to adopt them as-is Strong candidates may also Have held both a global and an APAC enablement role Have run enablement delivered across multiple APAC markets Have helped build or scale an enablement function Have carried a quota or led sellers earlier in their career Have enablement experience in AI, developer platforms or technical products sold to both executives and builders Have built manager or coaching programmes, not just individual-contributor enablement Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.",1789982342000,"2026-10-14T06:31:45-04:00","AUD",{"jsonldValid":17,"jsonld":27},1794566470407]