[{"data":1,"prerenderedAt":119},["ShallowReactive",2],{"$fp-9tl7E5AgTayX8gMaoWkwSuvAsK7Ha-R1Sj6l3B4iI":3,"$fhWSFMNCpx_60wiflZkgvln4-OE1XXP7AtXXLdQIjLKc":30},{"job":4},{"id":5,"applyToken":6,"slug":7,"title":8,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":13,"country":14,"remote":15,"employmentType":16,"department":18,"content_html":19,"content_text":20,"years":21,"createdAt":22,"updatedAtISO":23,"postedAtISO":24,"hasSalary":25,"salaryMin":26,"salaryMax":26,"currency":27,"isPaid":15,"schema":28},"6508a6cafd82912c4eaa54a148c38bdfa43ea334fa8770545ce5b83faf68c575","59a144da85e519be9c48556a1a632e74b88783ee285bcd300cd9c9bac14a50b8","finance-and-strategy-gtm-emea-at-anthropic-725e4b1fc2","Finance & Strategy GTM, EMEA","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","London","United Kingdom",false,[17],"Full-time","Finance","\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>We are seeking a Finance Business Partner to join our EMEA GTM Finance & Strategy team at Anthropic. In this role, you will be a key partner to our EMEA go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations.\u003C/p>\n\u003Ch2>Responsibilities:\u003C/h2>\n\u003Cul>\n\u003Cli>Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials\u003C/li>\n\u003Cli>Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives\u003C/li>\n\u003Cli>Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives\u003C/li>\n\u003Cli>Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations\u003C/li>\n\u003C/ul>\n\u003Ch2>Requirements: \u003C/h2>\n\u003Cul>\n\u003Cli>7+ years of experience across strategic finance, FP&A, business partnering, consulting, investment banking, or related fields\u003C/li>\n\u003Cli>Demonstrated experience supporting or building out finance functions in international or EMEA markets\u003C/li>\n\u003Cli>Exceptional analytical skills with the ability to synthesize complex data into clear, actionable insights and develop robust financial models\u003C/li>\n\u003Cli>Strong cross-functional communication skills and comfort presenting financial information to non-finance audiences, including senior leadership\u003C/li>\n\u003Cli>Experience with budgeting, forecasting, and long-range financial planning in a high-growth environment\u003C/li>\n\u003Cli>Familiarity with multi-entity, multi-currency financial environments and EMEA regulatory or statutory considerations\u003C/li>\n\u003Cli>A bias toward action, strong work ethic, and ability to drive outcomes under tight timelines\u003C/li>\n\u003Cli>Passion for Anthropic's mission to build safe, transformative AI systems\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—£240,000 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>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 We are seeking a Finance Business Partner to join our EMEA GTM Finance & Strategy team at Anthropic. In this role, you will be a key partner to our EMEA go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations. Responsibilities: Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations Requirements: 7+ years of experience across strategic finance, FP&A, business partnering, consulting, investment banking, or related fields Demonstrated experience supporting or building out finance functions in international or EMEA markets Exceptional analytical skills with the ability to synthesize complex data into clear, actionable insights and develop robust financial models Strong cross-functional communication skills and comfort presenting financial information to non-finance audiences, including senior leadership Experience with budgeting, forecasting, and long-range financial planning in a high-growth environment Familiarity with multi-entity, multi-currency financial environments and EMEA regulatory or statutory considerations A bias toward action, strong work ethic, and ability to drive outcomes under tight timelines Passion for Anthropic's mission to build safe, transformative AI systems 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—£240,000 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. 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.",0,1790109915000,"2026-09-22 22:50:53","2026-09-22T09:34:58-04:00",true,240000,"GBP",{"jsonldValid":15,"jsonld":29},"",{"jobs":31},[32,50,63,77,94,108],{"id":33,"applyToken":34,"slug":35,"title":36,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":37,"country":38,"remote":15,"employmentType":39,"department":40,"content_html":41,"content_text":42,"years":21,"createdAt":43,"updatedAtISO":44,"postedAtISO":45,"hasSalary":25,"salaryMin":46,"salaryMax":47,"currency":48,"isPaid":15,"schema":49},"0ba147d7a109167326ed937543946cf1e898fc9e3362c72c8b4bc7f35f97510d","5036751069e97463f34c23e0b11fddd4a957bb13f894e098b590383a273b5da7","gtm-enablement-trainer-claude-products-at-anthropic-8383edd8ad","GTM Enablement Trainer, Claude Products","San Francisco","United States",[17],"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>\u003Ch3>\u003Cstrong>About the role\u003C/strong>\u003C/h3>\n\u003Cp>As the GTM Enablement Trainer, Claude Products, you'll teach Anthropic's global field organization how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two halves. The first is enabling our own people to be power users of Claude, so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer.\u003C/p>\n\u003Cp>The best person in this role sees around corners. You won't wait for a launch to be announced before you start building enablement for it. You'll be embedded enough with Product and Applied AI to know what's coming, and opinionated enough to say which surfaces need real enablement investment and which don't. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. You should also find more energy in enabling people to use what we build than in building it yourself.\u003C/p>\n\u003Ch2>\u003Cstrong>Key responsibilities:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead\u003C/li>\n\u003Cli>Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work\u003C/li>\n\u003Cli>Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing\u003C/li>\n\u003Cli>Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field\u003C/li>\n\u003Cli>Anticipate which new product surfaces will require significant enablement investment, and make the case for that investment before launch\u003C/li>\n\u003Cli>Build and maintain the product certification path that credentials sellers on our core products\u003C/li>\n\u003Cli>Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material\u003C/li>\n\u003Cli>Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Minimum qualifications:\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>\n\u003Cp>Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience writing and presenting technical material for audiences with very different levels of technical depth\u003C/p>\n\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Preferred qualifications\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>\n\u003Cp>Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience owning launch readiness for a technical product across a global field organization\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Prior experience as a solutions engineer or sales engineer carrying a technical win\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience building technical certification programs\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>A track record of shipping enablement content that the field actually uses\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Experience building programs from 0 to 1 in fast-paced, ambiguous environments\u003C/p>\n\u003C/li>\n\u003C/ul>\n\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>$190,000—$270,000 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>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 the GTM Enablement Trainer, Claude Products, you'll teach Anthropic's global field organization how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two halves. The first is enabling our own people to be power users of Claude, so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer. The best person in this role sees around corners. You won't wait for a launch to be announced before you start building enablement for it. You'll be embedded enough with Product and Applied AI to know what's coming, and opinionated enough to say which surfaces need real enablement investment and which don't. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. You should also find more energy in enabling people to use what we build than in building it yourself. Key responsibilities: Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field Anticipate which new product surfaces will require significant enablement investment, and make the case for that investment before launch Build and maintain the product certification path that credentials sellers on our core products Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing Minimum qualifications: Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula Experience writing and presenting technical material for audiences with very different levels of technical depth Preferred qualifications Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling Experience owning launch readiness for a technical product across a global field organization Prior experience as a solutions engineer or sales engineer carrying a technical win Experience building technical certification programs A track record of shipping enablement content that the field actually uses Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it Experience building programs from 0 to 1 in fast-paced, ambiguous environments 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: $190,000—$270,000 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. 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.",1790120183000,"2026-09-23 01:39:41","2026-09-22T19:46:10-04:00",190000,270000,"USD",{"jsonldValid":15,"jsonld":29},{"id":51,"applyToken":52,"slug":53,"title":8,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":54,"country":55,"remote":15,"employmentType":56,"department":18,"content_html":57,"content_text":58,"years":21,"createdAt":22,"updatedAtISO":23,"postedAtISO":59,"hasSalary":25,"salaryMin":60,"salaryMax":60,"currency":61,"isPaid":15,"schema":62},"79475fa5bda26ec2e2d9618392b425a2141779e7e1eebe9a06c43568bc6992a2","8e32e4acc750e1a159921875233d74f971b081c994f5430ceab4d92acfd09940","finance-and-strategy-gtm-emea-at-anthropic-062ecbd960","Dublin","Ireland",[17],"\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>We are seeking a Finance Business Partner to join our EMEA GTM Finance & Strategy team at Anthropic. In this role, you will be a key partner to our EMEA go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations.\u003C/p>\n\u003Ch2>Responsibilities:\u003C/h2>\n\u003Cul>\n\u003Cli>Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials\u003C/li>\n\u003Cli>Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives\u003C/li>\n\u003Cli>Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives\u003C/li>\n\u003Cli>Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations\u003C/li>\n\u003C/ul>\n\u003Ch2>Requirements: \u003C/h2>\n\u003Cul>\n\u003Cli>7+ years of experience across strategic finance, FP&A, business partnering, consulting, investment banking, or related fields\u003C/li>\n\u003Cli>Demonstrated experience supporting or building out finance functions in international or EMEA markets\u003C/li>\n\u003Cli>Exceptional analytical skills with the ability to synthesize complex data into clear, actionable insights and develop robust financial models\u003C/li>\n\u003Cli>Strong cross-functional communication skills and comfort presenting financial information to non-finance audiences, including senior leadership\u003C/li>\n\u003Cli>Experience with budgeting, forecasting, and long-range financial planning in a high-growth environment\u003C/li>\n\u003Cli>Familiarity with multi-entity, multi-currency financial environments and EMEA regulatory or statutory considerations\u003C/li>\n\u003Cli>A bias toward action, strong work ethic, and ability to drive outcomes under tight timelines\u003C/li>\n\u003Cli>Passion for Anthropic's mission to build safe, transformative AI systems\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>€230.000—€230.000 EUR\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>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 We are seeking a Finance Business Partner to join our EMEA GTM Finance & Strategy team at Anthropic. In this role, you will be a key partner to our EMEA go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations. Responsibilities: Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations Requirements: 7+ years of experience across strategic finance, FP&A, business partnering, consulting, investment banking, or related fields Demonstrated experience supporting or building out finance functions in international or EMEA markets Exceptional analytical skills with the ability to synthesize complex data into clear, actionable insights and develop robust financial models Strong cross-functional communication skills and comfort presenting financial information to non-finance audiences, including senior leadership Experience with budgeting, forecasting, and long-range financial planning in a high-growth environment Familiarity with multi-entity, multi-currency financial environments and EMEA regulatory or statutory considerations A bias toward action, strong work ethic, and ability to drive outcomes under tight timelines Passion for Anthropic's mission to build safe, transformative AI systems 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: €230.000—€230.000 EUR 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. 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.","2026-09-22T09:34:55-04:00",230000,"EUR",{"jsonldValid":15,"jsonld":29},{"id":64,"applyToken":65,"slug":66,"title":67,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":68,"country":68,"remote":15,"employmentType":69,"department":40,"content_html":70,"content_text":71,"years":21,"createdAt":72,"updatedAtISO":73,"postedAtISO":74,"hasSalary":15,"salaryMin":21,"salaryMax":21,"currency":75,"isPaid":15,"schema":76},"1edf1fd1dd765fb523e7b4da3bb5b0548649c4d1bee2482ea9bc1521096e3177","70004c028ded02271f015bdf6748fb8e82253a149c6e6f2a5dc30fc03645888d","head-of-apac-gtm-enablement-at-anthropic-184738f036","Head of APAC GTM Enablement","Singapore",[17],"\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'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. You will be the first enablement leader on the ground in APAC.\u003C/p>\n\u003Cp>You will change that. As the first enablement leader based in APAC, you will own how the field across the region gets ready: onboarding, ongoing skill development, manager coaching support and launch readiness, for every GTM function, not just sales. You are the multiplier. You turn a rapidly scaling region into a field that is ready for the customer conversations in front of it, in the languages those conversations happen in.\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 design for APAC as part of that engine, adapted and translated where it matters, delivered across APAC, feeding what you learn back into the international and global programme. Design, influence and translate, in both directions.\u003C/p>\n\u003Cp>How we work: adults learn by doing, 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 deep understanding of how adults learn, applied at unprecedented 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. Infinite 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\u003Ch2>Key responsibilities\u003C/h2>\n\u003Cul>\n\u003Cli>Stand up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a regional feedback loop into the global programme\u003C/li>\n\u003Cli>Adapt the international portfolio for APAC, where enablement for several markets must be written and translated ahead of delivery rather than spoken and hoped for\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. 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>Run practice-first sessions in the room: deal walkthroughs, role-plays, customer-conversation rehearsal. Practice and application over presentation\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Minimum qualifications\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>Have 15+ years in GTM enablement, sales productivity or field roles, with several years leading enablement\u003C/li>\n\u003Cli>Have built and led GTM enablement in APAC, with direct experience in more than one of the region's markets\u003C/li>\n\u003Cli>Have influenced and shipped beyond your own region, from a global seat or a regional one: a programme adopted elsewhere, or a senior stakeholder outside your reporting line whose decision you changed\u003C/li>\n\u003Cli>Personally design practice-first enablement and measure it by what the field does differently afterwards, not content shipped or attendance\u003C/li>\n\u003Cli>Understand how adults learn and apply it at unprecedented speed. Much of the job is helping experienced sellers unlearn pre-AI habits, not just teaching new ones\u003C/li>\n\u003Cli>Are creative with the craft. You use AI to give every seller personalised practice, real-deal scenarios and fast feedback, not to produce more content\u003C/li>\n\u003Cli>Have owned a function with end-to-end accountability rather than orchestrated one\u003C/li>\n\u003Cli>Have enabled a field across languages and cultures. You know what breaks when content built for English-first markets ships as-is\u003C/li>\n\u003Cli>Operate as the region's first enablement leader: prioritising ruthlessly, borrowing leverage from global programmes, knowing when to adapt versus adopt\u003C/li>\n\u003Cli>Work fluently with sales leaders as a peer: pipeline reviews, deal inspection and forecast conversations, not just training rooms\u003C/li>\n\u003C/ul>\n\u003Ch3>Strong candidates may also\u003C/h3>\n\u003Cul>\n\u003Cli>Have held both a global and an APAC enablement role\u003C/li>\n\u003Cli>Have run enablement delivered across APAC markets\u003C/li>\n\u003Cli>Have built a regional enablement function from zero\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>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. You will be the first enablement leader on the ground in APAC. You will change that. As the first enablement leader based in APAC, you will own how the field across the region gets ready: onboarding, ongoing skill development, manager coaching support and launch readiness, for every GTM function, not just sales. You are the multiplier. You turn a rapidly scaling region into a field that is ready for the customer conversations in front of it, in the languages those conversations happen in. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to design for APAC as part of that engine, adapted and translated where it matters, delivered across APAC, feeding what you learn back into the international and global programme. Design, influence and translate, in both directions. How we work: adults learn by doing, 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 deep understanding of how adults learn, applied at unprecedented 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. Infinite 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 Stand up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a regional feedback loop into the global programme Adapt the international portfolio for APAC, where enablement for several markets must be written and translated ahead of delivery rather than spoken and hoped for Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows Own launch readiness for the region. When a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else Run practice-first sessions in the room: deal walkthroughs, role-plays, customer-conversation rehearsal. Practice and application over presentation Minimum qualifications Have 15+ years in GTM enablement, sales productivity or field roles, with several years leading enablement Have built and led GTM enablement in APAC, with direct experience in more than one of the region's markets Have influenced and shipped beyond your own region, from a global seat or a regional one: a programme adopted elsewhere, or a senior stakeholder outside your reporting line whose decision you changed Personally design practice-first enablement and measure it by what the field does differently afterwards, not content shipped or attendance Understand how adults learn and apply it at unprecedented speed. Much of the job is helping experienced sellers unlearn pre-AI habits, not just teaching new ones Are creative with the craft. You use AI to give every seller personalised practice, real-deal scenarios and fast feedback, not to produce more content Have owned a function with end-to-end accountability rather than orchestrated one Have enabled a field across languages and cultures. You know what breaks when content built for English-first markets ships as-is Operate as the region's first enablement leader: prioritising ruthlessly, borrowing leverage from global programmes, knowing when to adapt versus adopt Work fluently with sales leaders as a peer: pipeline reviews, deal inspection and forecast conversations, not just training rooms Strong candidates may also Have held both a global and an APAC enablement role Have run enablement delivered across APAC markets Have built a regional enablement function from zero 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. 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,"2026-09-21 11:22:59","2026-09-21T03:41:54-04:00","SGD",{"jsonldValid":15,"jsonld":29},{"id":78,"applyToken":79,"slug":80,"title":81,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":37,"country":82,"remote":15,"employmentType":83,"department":84,"content_html":85,"content_text":86,"years":21,"createdAt":87,"updatedAtISO":88,"postedAtISO":89,"hasSalary":25,"salaryMin":90,"salaryMax":91,"currency":92,"isPaid":15,"schema":93},"08f10dd64e2045c0fc6dd447feead55c1a3b2a665ee547fbdb8731b98a007945","98f44a5c1d5a1d312c97cc0507a826cfc2d5a4280a77a68a9a809629e2f8552f","head-of-gtm-strategy-ops-and-analytics-at-anthropic-2533c1beed","Head of GTM Strategy, Ops & Analytics","Canada",[17],"Data","\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>\u003Ch3>About the Role\u003C/h3>\n\u003Cp>As the Head of GTM Strategy, Operations, and Analytics at Anthropic, you will lead our global GTM Strategy & Operations teams, as well as our GTM Analytics function, driving strategic decision-making and operational excellence across our rapidly scaling business. You'll manage growing teams responsible for GTM strategy, operations, and analytics, ensuring our sales, marketing, and customer success organizations have the insights, processes, and operational support needed to achieve ambitious growth targets while maintaining our commitment to safe AI deployment.\u003C/p>\n\u003Cp>In this role, you'll be a key partner to GTM leadership, owning critical operating cadences, forecasting processes, and strategic planning initiatives. You'll drive data-driven decision making across the organization while building scalable systems and processes that support our mission to make AI safe and beneficial.\u003C/p>\n\u003Ch3>Responsibilities\u003C/h3>\n\u003Cul>\n\u003Cli>Lead and scale teams across GTM Strategy & Operations and GTM Analytics, providing strategic direction and fostering a culture of operational excellence and analytical rigor\u003C/li>\n\u003Cli>Own and optimize key GTM operating cadences, including forecasting processes, monthly and quarterly business reviews, and board-level reporting\u003C/li>\n\u003Cli>Drive quarterly and annual planning processes for territory design, GTM headcount planning, quota setting, and target allocation\u003C/li>\n\u003Cli>Establish central reporting frameworks and executive dashboards that provide actionable insights to GTM leaders and enable data-driven decision making\u003C/li>\n\u003Cli>Partner closely with Sales, Marketing, and Customer Success leadership to identify operational challenges and implement scalable solutions\u003C/li>\n\u003Cli>Develop and maintain GTM performance metrics, KPIs, and reporting standards that align with company objectives and drive accountability\u003C/li>\n\u003Cli>Lead cross-functional initiatives to optimize GTM efficiency, including process automation, system integrations, and workflow improvements\u003C/li>\n\u003Cli>Provide strategic insights and recommendations to executive leadership on market opportunities, competitive positioning, and go-to-market effectiveness\u003C/li>\n\u003Cli>Collaborate with Finance and Data Science teams to ensure alignment on revenue forecasting, pricing strategies, and market analysis\u003C/li>\n\u003Cli>Partner closely with product organization to drive new product introductions, bring the voice of the customer and the field into roadmap and launch decisions, and shape pricing, packaging and sales readiness so each launch lands with the field prepared to sell it.\u003C/li>\n\u003Cli>Build and maintain relationships with key stakeholders across the organization, serving as a trusted advisor on GTM strategy and operations\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>You may be a good fit if you:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Have 10+ years of experience in revenue operations, sales operations, or GTM analytics, with at least 5 years in senior leadership roles\u003C/li>\n\u003Cli>Have proven experience scaling GTM operations at high-growth technology companies, preferably in the enterprise software or AI/ML space\u003C/li>\n\u003Cli>Possess deep expertise in forecasting methodologies, territory management, quota planning, and GTM performance measurement\u003C/li>\n\u003Cli>Are proficient in CRM & other GTM systems (Salesforce, Gong)\u003C/li>\n\u003Cli>Have strong analytical skills with experience in SQL, data visualization tools (Tableau, Looker)\u003C/li>\n\u003Cli>Excel at stakeholder management and cross-functional collaboration, with demonstrated ability to influence at all levels of an organization\u003C/li>\n\u003Cli>Are a strategic thinker with the ability to translate business objectives into actionable operational plans\u003C/li>\n\u003Cli>Have experience building and leading high-performing teams in fast-paced, ambiguous environments\u003C/li>\n\u003Cli>Possess excellent communication skills and can present complex data insights to executive audiences\u003C/li>\n\u003Cli>Thrive in a mission-driven environment and are passionate about the responsible development and deployment of AI technology\u003C/li>\n\u003Cli>Have operated at scale and through hypergrowth in an enterprise B2B business; understand the consumption world, where revenue follows usage rather than signature; and have lived both the zero-to-one build of a function and the one-to-massive scaling of it.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Strong candidates may have:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Experience in API-first, consumption-based, or complex Enterprise business models\u003C/li>\n\u003Cli>Background working with enterprise customers and understanding of complex sales cycles\u003C/li>\n\u003Cli>Experience managing both individual contributors and managers\u003C/li>\n\u003Cli>Knowledge of compliance and regulatory requirements relevant to AI/ML companies\u003C/li>\n\u003Cli>MBA or advanced degree in a quantitative field\u003C/li>\n\u003Cli>Previous experience scaling operations through periods of rapid international expansion\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>$540,000—$585,000 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>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 the Head of GTM Strategy, Operations, and Analytics at Anthropic, you will lead our global GTM Strategy & Operations teams, as well as our GTM Analytics function, driving strategic decision-making and operational excellence across our rapidly scaling business. You'll manage growing teams responsible for GTM strategy, operations, and analytics, ensuring our sales, marketing, and customer success organizations have the insights, processes, and operational support needed to achieve ambitious growth targets while maintaining our commitment to safe AI deployment. In this role, you'll be a key partner to GTM leadership, owning critical operating cadences, forecasting processes, and strategic planning initiatives. You'll drive data-driven decision making across the organization while building scalable systems and processes that support our mission to make AI safe and beneficial. Responsibilities Lead and scale teams across GTM Strategy & Operations and GTM Analytics, providing strategic direction and fostering a culture of operational excellence and analytical rigor Own and optimize key GTM operating cadences, including forecasting processes, monthly and quarterly business reviews, and board-level reporting Drive quarterly and annual planning processes for territory design, GTM headcount planning, quota setting, and target allocation Establish central reporting frameworks and executive dashboards that provide actionable insights to GTM leaders and enable data-driven decision making Partner closely with Sales, Marketing, and Customer Success leadership to identify operational challenges and implement scalable solutions Develop and maintain GTM performance metrics, KPIs, and reporting standards that align with company objectives and drive accountability Lead cross-functional initiatives to optimize GTM efficiency, including process automation, system integrations, and workflow improvements Provide strategic insights and recommendations to executive leadership on market opportunities, competitive positioning, and go-to-market effectiveness Collaborate with Finance and Data Science teams to ensure alignment on revenue forecasting, pricing strategies, and market analysis Partner closely with product organization to drive new product introductions, bring the voice of the customer and the field into roadmap and launch decisions, and shape pricing, packaging and sales readiness so each launch lands with the field prepared to sell it. Build and maintain relationships with key stakeholders across the organization, serving as a trusted advisor on GTM strategy and operations You may be a good fit if you: Have 10+ years of experience in revenue operations, sales operations, or GTM analytics, with at least 5 years in senior leadership roles Have proven experience scaling GTM operations at high-growth technology companies, preferably in the enterprise software or AI/ML space Possess deep expertise in forecasting methodologies, territory management, quota planning, and GTM performance measurement Are proficient in CRM & other GTM systems (Salesforce, Gong) Have strong analytical skills with experience in SQL, data visualization tools (Tableau, Looker) Excel at stakeholder management and cross-functional collaboration, with demonstrated ability to influence at all levels of an organization Are a strategic thinker with the ability to translate business objectives into actionable operational plans Have experience building and leading high-performing teams in fast-paced, ambiguous environments Possess excellent communication skills and can present complex data insights to executive audiences Thrive in a mission-driven environment and are passionate about the responsible development and deployment of AI technology Have operated at scale and through hypergrowth in an enterprise B2B business; understand the consumption world, where revenue follows usage rather than signature; and have lived both the zero-to-one build of a function and the one-to-massive scaling of it. Strong candidates may have: Experience in API-first, consumption-based, or complex Enterprise business models Background working with enterprise customers and understanding of complex sales cycles Experience managing both individual contributors and managers Knowledge of compliance and regulatory requirements relevant to AI/ML companies MBA or advanced degree in a quantitative field Previous experience scaling operations through periods of rapid international expansion 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: $540,000—$585,000 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. 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.",1789688309000,"2026-09-18 01:41:02","2026-09-17T17:01:42-04:00",540000,585000,"CAD",{"jsonldValid":15,"jsonld":29},{"id":95,"applyToken":96,"slug":97,"title":98,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":37,"country":38,"remote":15,"employmentType":99,"department":100,"content_html":101,"content_text":102,"years":21,"createdAt":103,"updatedAtISO":104,"postedAtISO":105,"hasSalary":25,"salaryMin":106,"salaryMax":106,"currency":48,"isPaid":15,"schema":107},"f406cdbfab56e5be4bf1d0c41adba5f54e5469d794cf6102e9841eb5d154bc87","c8f52d8d162442536545ef2616180c10f9d2bb7446fb373da0d0ab11fd603e3b","product-marketing-manager-platform-at-anthropic-0b6c575406","Product Marketing Manager, Platform",[17],"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>\u003Ch1>\u003Cstrong>About the role\u003C/strong>\u003C/h1>\n\u003Cp>We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models.\u003C/p>\n\u003Cp>In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you.\u003C/p>\n\u003Ch1>\u003Cstrong>Responsibilities\u003C/strong>\u003C/h1>\n\u003Cul>\n\u003Cli>Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities\u003C/li>\n\u003Cli>Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs\u003C/li>\n\u003Cli>Drive product launches that generate market momentum, from flagship releases to incremental feature updates\u003C/li>\n\u003Cli>Design and implement developer marketing campaigns to drive API adoption and platform usage\u003C/li>\n\u003Cli>Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling\u003C/li>\n\u003Cli>Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback\u003C/li>\n\u003Cli>Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market\u003C/li>\n\u003C/ul>\n\u003Ch1>\u003Cstrong>Minimum requirements\u003C/strong>\u003C/h1>\n\u003Cul>\n\u003Cli>Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches\u003C/li>\n\u003Cli>Have a strong technical background with the ability to understand and communicate complex AI features to both technical and non-technical audiences\u003C/li>\n\u003Cli>Excel at cross-functional collaboration, particularly in aligning Product, Sales, and Marketing strategies\u003C/li>\n\u003Cli>Possess strong storytelling skills with a demonstrated ability to create diverse marketing content, including blogs, presentations, sales collateral, website copy, and customer case studies\u003C/li>\n\u003Cli>Have exceptional writing skills with a demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media)\u003C/li>\n\u003C/ul>\n\u003Ch1>\u003Cstrong>Preferred requirements\u003C/strong>\u003C/h1>\n\u003Cul>\n\u003Cli>Have 10+ years of product marketing experience and at least 5 years focused on developer platforms, APIs, or technical products\u003C/li>\n\u003Cli>Experience in highly competitive markets requiring sharp differentiation\u003C/li>\n\u003Cli>A background in marketing AI/ML products or developer tools to enterprise buyers\u003C/li>\n\u003Cli>Experience working closely with Sales teams on strategic, technical deals\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Role-specific policy:\u003C/strong>\u003Cem> \u003C/em>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>$320,000—$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>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 We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models. In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you. Responsibilities Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs Drive product launches that generate market momentum, from flagship releases to incremental feature updates Design and implement developer marketing campaigns to drive API adoption and platform usage Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market Minimum requirements Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches Have a strong technical background with the ability to understand and communicate complex AI features to both technical and non-technical audiences Excel at cross-functional collaboration, particularly in aligning Product, Sales, and Marketing strategies Possess strong storytelling skills with a demonstrated ability to create diverse marketing content, including blogs, presentations, sales collateral, website copy, and customer case studies Have exceptional writing skills with a demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media) Preferred requirements Have 10+ years of product marketing experience and at least 5 years focused on developer platforms, APIs, or technical products Experience in highly competitive markets requiring sharp differentiation A background in marketing AI/ML products or developer tools to enterprise buyers Experience working closely with Sales teams on strategic, technical deals 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: $320,000—$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. 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.",1789493131000,"2026-09-15 19:29:58","2026-09-14T19:30:25-04:00",320000,{"jsonldValid":15,"jsonld":29},{"id":109,"applyToken":110,"slug":111,"title":112,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":37,"country":38,"remote":15,"employmentType":113,"department":100,"content_html":114,"content_text":115,"years":21,"createdAt":103,"updatedAtISO":116,"postedAtISO":117,"hasSalary":25,"salaryMin":106,"salaryMax":106,"currency":48,"isPaid":15,"schema":118},"0253d0f8964dce0aa0be7ea93ac0c3821b179fa0d16eef48b65a8a9ce37e326a","c116e39d804e2e9c159faf447ec77c71f5823ee5b226364f91686a26faf65d2f","product-marketing-manager-special-projects-at-anthropic-590190c545","Product Marketing Manager, Special Projects",[17],"\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>We're looking for a senior Product Marketing Manager to lead go-to-market for Anthropic's highest-priority special projects — the cross-cutting launches, new capabilities, and time-sensitive initiatives that don't map neatly to a single product line but matter enormously to how the market understands Claude and Anthropic. \u003C/p>\n\u003Cp>You'll own positioning, messaging, and narrative development for these projects end to end, and you'll also own the program: pulling together product, research, comms, sales, and marketing stakeholders, building the plan, and driving it to launch. This is a senior individual contributor role for someone who operates with a high degree of autonomy. You'll frequently be handed an ambiguous, technically complex problem — sometimes deep in areas like safety and cyber — with a tight timeline and no existing playbook, and be expected to shape the story, build the plan, and ship. If you're a product marketer who is equally strong at crafting the narrative and running the launch, and you want to work on the projects that define the frontier of AI, this role is for you.\u003C/p>\n\u003Ch2>\u003Cstrong>Responsibilities\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>Own go-to-market strategy for a rotating portfolio of special projects, from positioning and messaging through launch execution and enablement\u003C/li>\n\u003Cli>Develop crisp, differentiated narratives for net-new capabilities and initiatives, often where no established market category or language yet exists\u003C/li>\n\u003Cli>Translate complex technical subject matter — including safety and safeguards work — into clear, credible messaging for developers, enterprise buyers, and the broader ecosystem\u003C/li>\n\u003Cli>Act as the program lead for each project: define the launch plan, timeline, and workstreams; align cross-functional stakeholders; and drive execution across product, research, comms, demand generation, and sales\u003C/li>\n\u003Cli>Create the core launch assets and source-of-truth materials — messaging frameworks, narratives, FAQs, enablement content — that other teams build from\u003C/li>\n\u003Cli>Partner with Product and Research leads to shape how projects are framed and sequenced for the market, feeding back market and competitive insight\u003C/li>\n\u003Cli>Build repeatable frameworks and playbooks so that special projects become faster and more consistent to bring to market over time\u003C/li>\n\u003Cli>Operate as a trusted, independent owner: surface risks early, make judgment calls in ambiguity, and keep leadership informed without needing close direction\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Minimum Requirements\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>B2B product marketing background; an exceptional writer and messaging craftsperson — positioning, narrative, and copy are your strengths, not just strategy decks\u003C/li>\n\u003Cli>Strong program management instincts and have personally run complex, multi-stakeholder launches end to end\u003C/li>\n\u003Cli>Can get comfortable with technical subject matter quickly and communicate it accurately to both technical and non-technical audiences\u003C/li>\n\u003Cli>Work autonomously — you're energized by being handed an ambiguous problem and trusted to figure out the path\u003C/li>\n\u003Cli>Skilled cross-functional collaborator who can align product, research, comms, and sales partners without formal authority\u003C/li>\n\u003Cli>Thrive in fast-moving, high-pressure environments where priorities shift and the playbook hasn't been written yet\u003C/li>\n\u003C/ul>\n\u003Ch2>\u003Cstrong>Preferred Requirements\u003C/strong>\u003C/h2>\n\u003Cul>\n\u003Cli>10+ years of product marketing experience in B2B or enterprise software, with a track record as a senior individual contributor\u003C/li>\n\u003Cli>Experience marketing AI/ML products, developer platforms, or infrastructure — a developer-platform background is valuable but not required\u003C/li>\n\u003Cli>Experience marketing in areas with significant trust, safety, security, or regulatory dimensions\u003C/li>\n\u003Cli>A track record of launching products or capabilities that created a new market category\u003C/li>\n\u003Cli>Prior experience in a special projects, launch lead, or \"fixer\" style role that spanned multiple product lines\u003C/li>\n\u003Cli>Experience at a high-growth technology company during a category-defining period\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 office at least 2 days a week, though 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>$320,000—$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>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 We're looking for a senior Product Marketing Manager to lead go-to-market for Anthropic's highest-priority special projects — the cross-cutting launches, new capabilities, and time-sensitive initiatives that don't map neatly to a single product line but matter enormously to how the market understands Claude and Anthropic. You'll own positioning, messaging, and narrative development for these projects end to end, and you'll also own the program: pulling together product, research, comms, sales, and marketing stakeholders, building the plan, and driving it to launch. This is a senior individual contributor role for someone who operates with a high degree of autonomy. You'll frequently be handed an ambiguous, technically complex problem — sometimes deep in areas like safety and cyber — with a tight timeline and no existing playbook, and be expected to shape the story, build the plan, and ship. If you're a product marketer who is equally strong at crafting the narrative and running the launch, and you want to work on the projects that define the frontier of AI, this role is for you. Responsibilities Own go-to-market strategy for a rotating portfolio of special projects, from positioning and messaging through launch execution and enablement Develop crisp, differentiated narratives for net-new capabilities and initiatives, often where no established market category or language yet exists Translate complex technical subject matter — including safety and safeguards work — into clear, credible messaging for developers, enterprise buyers, and the broader ecosystem Act as the program lead for each project: define the launch plan, timeline, and workstreams; align cross-functional stakeholders; and drive execution across product, research, comms, demand generation, and sales Create the core launch assets and source-of-truth materials — messaging frameworks, narratives, FAQs, enablement content — that other teams build from Partner with Product and Research leads to shape how projects are framed and sequenced for the market, feeding back market and competitive insight Build repeatable frameworks and playbooks so that special projects become faster and more consistent to bring to market over time Operate as a trusted, independent owner: surface risks early, make judgment calls in ambiguity, and keep leadership informed without needing close direction Minimum Requirements B2B product marketing background; an exceptional writer and messaging craftsperson — positioning, narrative, and copy are your strengths, not just strategy decks Strong program management instincts and have personally run complex, multi-stakeholder launches end to end Can get comfortable with technical subject matter quickly and communicate it accurately to both technical and non-technical audiences Work autonomously — you're energized by being handed an ambiguous problem and trusted to figure out the path Skilled cross-functional collaborator who can align product, research, comms, and sales partners without formal authority Thrive in fast-moving, high-pressure environments where priorities shift and the playbook hasn't been written yet Preferred Requirements 10+ years of product marketing experience in B2B or enterprise software, with a track record as a senior individual contributor Experience marketing AI/ML products, developer platforms, or infrastructure — a developer-platform background is valuable but not required Experience marketing in areas with significant trust, safety, security, or regulatory dimensions A track record of launching products or capabilities that created a new market category Prior experience in a special projects, launch lead, or \"fixer\" style role that spanned multiple product lines Experience at a high-growth technology company during a category-defining period Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week, though 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: $320,000—$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. 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.","2026-09-22 01:47:45","2026-09-21T20:09:28-04:00",{"jsonldValid":15,"jsonld":29},1790156449640]