[{"data":1,"prerenderedAt":92},["ShallowReactive",2],{"$f2YWopidzqK4cg7-80gHs14cVqvnwYIZhYQJhqM6hkP4":3,"$fY5nydF9GkfiG3P4giuLqtT8YKMczlWbyeiFQJnV1lPs":30},{"job":4},{"id":5,"slug":6,"title":7,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":12,"country":13,"remote":14,"employmentType":15,"department":17,"content_html":18,"content_text":19,"years":20,"createdAt":21,"updatedAtISO":22,"postedAtISO":23,"hasSalary":24,"salaryMin":25,"salaryMax":26,"currency":27,"isPaid":14,"schema":28},"e6b087121fd8d3e51f8a86e18d189bfd1ec92a58ecff9a33a5e89baeeec4d15f","senior-lead-go-to-market-architect-at-klaviyo-e80f483dd3","Senior Lead Go-To-Market Architect","Klaviyo","https://cdn.jobboardwise.com/logo/klaviyo.com","Klaviyo is the only CRM built for B2C brands. Know, engage, and grow your audience like never before.","Marketing Services","San Francisco","Canada",false,[16],"Full-time","Other","\u003Cp>\u003Cem>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.\u003C/em>\u003C/p>\u003Cp>Klaviyo's operational infrastructure, built and managed by our GTM Systems team, powers our GTM engine. We're looking for a Senior GTM Architect, a technical expert with end-to-end understanding of the systems behind marketing, sales, and customer experience, who can reimagine how that system works with an AI-first approach, and who is hands-on enough to build, ship, and de-risk the hardest parts.\u003C/p>\n\u003Cp>\u003Cstrong>About the team\u003C/strong>\u003C/p>\n\u003Cp>Our GTM Systems team sits at the center of Klaviyo's GTM engine, powering the operational infrastructure that connects marketing, sales, partnerships, and customer success. We build and own the systems that enable our teams to move quickly, trust their data, and focus on what matters most: helping our customers grow. As we scale, we're rebuilding the marketing, sales, and CX stack around agentic AI as the operating model, not a bolt-on experiment.\u003C/p>\n\u003Cp>\u003Cstrong>About the role\u003C/strong>\u003C/p>\n\u003Cp>As the Senior GTM Architect, you are the domain expert for how Klaviyo's marketing, sales, and customer experience systems work together and how they should work differently once AI agents, not just dashboards and workflows, are doing meaningful parts of the job. You own the architecture across our CRM (Salesforce), marketing automation, sales engagement, data enrichment, and CS/support platforms. You translate ambiguous GTM strategy into system architecture (data models, integration patterns, agentic workflows), drive the roadmap by looking around the corner with GTM leadership, and stay hands-on to build and ship meaningful parts of the solution yourself, not just diagram it from a distance.\u003C/p>\n\u003Cp>Because of the breadth of this remit, you'll regularly present architecture decisions and AI transformation strategy directly to senior GTM, RevOps, and executive leadership, and need to influence outcomes well above your reporting line.\u003C/p>\n\u003Cp>\u003Cstrong>How you'll make an impact\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Own end-to-end GTM systems architecture: \u003C/strong>Salesforce, marketing automation, sales engagement, data enrichment, and CS/support platforms, ensuring seamless integration and clean, bidirectional data flow across marketing, sales, and customer success.\u003C/li>\n\u003Cli>\u003Cstrong>Ship AI agents into production, not pilots: \u003C/strong>build and deploy agentic workflows replacing manual GTM work with intelligent, auditable automation.\u003C/li>\n\u003Cli>\u003Cstrong>Redesign core GTM processes around AI: \u003C/strong>lead-to-revenue, opportunity management, renewals/expansion, and support handoffs, evaluating and piloting AI-native tools rather than just administering the existing stack.\u003C/li>\n\u003Cli>\u003Cstrong>Stay hands-on: \u003C/strong>architect and ship meaningful pieces of the solution yourself (Apex, LWC, SOQL, integrations, AI orchestration layers), track your work transparently, and set the technical bar through code review and pairing.\u003C/li>\n\u003Cli>\u003Cstrong>Establish data quality and governance standards \u003C/strong>that keep GTM data trustworthy at scale, and build the reporting infrastructure that leadership relies on to make decisions.\u003C/li>\n\u003Cli>\u003Cstrong>Serve as the go-to domain expert and trusted advisor \u003C/strong>to Marketing, Sales, RevOps, CX, and senior/executive leadership translating complex architectural and AI tradeoffs into language that drives decisions in the room, not just documentation after the fact.\u003C/li>\n\u003Cli>\u003Cstrong>Mentor engineers and GTM Systems teammates \u003C/strong>on system design, AI-native workflow design, and technical tradeoff thinking.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>What makes you a great fit\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>You've been the technical decision-maker for a complex, multi-system GTM platform (Salesforce or similar) spanning more than one function: marketing, sales, and/or customer success. You are  able to both design the architecture and build meaningful parts of it yourself, hands-on with Apex, LWC, Flow, and integrations.\u003C/li>\n\u003Cli>You have hands-on experience designing and building agentic AI/LLM-powered workflows for real business problems, and a clear, defensible point of view on where AI should replace human judgment in GTM workflows and where it shouldn't.\u003C/li>\n\u003Cli>You can translate ambiguous, cross-functional business problems (marketing, sales, CX, revenue operations) into a technical solution and a clear set of tradeoffs, then explain your reasoning to engineers and business stakeholders alike.\u003C/li>\n\u003Cli>You operate with a high degree of autonomy and influence: given a fuzzy, high-visibility problem, you can drive it from discovery through design through delivery, and you're comfortable being the person senior and executive leadership turns to for a straight answer.\u003C/li>\n\u003Cli>You have a track record of raising the bar for a team's engineering practice through code review, GitHub-based workflows, and technical mentorship,  even when you're the most senior technical voice in the room.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Nice to haves\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Salesforce Application Architect, System Architect, or similar architect-track certification (or equivalent demonstrated experience).\u003C/li>\n\u003Cli>Hands-on experience with LLM/agent frameworks (LangChain, CrewAI, LlamaIndex, Agentforce, or similar) and deploying them into production environments.\u003C/li>\n\u003Cli>Experience with the broader GTM tooling ecosystem, conversation intelligence (Gong), marketing automation (HubSpot), customer success (Gainsight) and data enrichment (ZoomInfo/Clearbit/Clay) and how each integrates with a CRM.\u003C/li>\n\u003Cli>Familiarity with vector databases and RAG patterns for grounding AI agents in GTM and CRM knowledge.\u003C/li>\n\u003Cli>Experience at a high-growth software company supporting marketing, sales, and CX systems together not just a single function.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Why this role matters at Klaviyo\u003C/strong>\u003C/p>\n\u003Cp>This is not a purely strategic, diagrams-only architect role. Klaviyo's GTM Systems function is actively shifting its engineering standard toward pro-code, GitHub-based development and AI-assisted, agentic workflows across marketing, sales, and CX. You'll both set that direction and help build it. Here's what makes it worth your time:\u003C/p>\n\u003Cul>\n\u003Cli>Your architecture decisions and your code directly affect how Klaviyo generates, converts, and retains revenue  you own enough of both the design and the build to know it holds up.\u003C/li>\n\u003Cli>You'll have a broader canvas than a single-function systems role: marketing, sales, and CX are yours to architect as one system, not three.\u003C/li>\n\u003Cli>You'll help define what an AI-first GTM operating model looks like at Klaviyo establishing standards and practices that outlast any single sprint, and that leadership adopts because you made the case.\u003C/li>\n\u003C/ul>\u003Cp>\u003Cstrong>Massachusetts Applicants:\u003Cbr>\u003C/strong>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\u003C/p>\n\u003Chr>\n\u003Cp>Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.\u003C/p>\n\u003Cp>In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. \u003C/p>\n\u003Cp>Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.\u003C/p>\u003Cp>Base Pay Range For US Locations:\u003C/p>\u003Cp>$164,000—$246,000 USD\u003C/p>\u003Cp>\u003Cem>This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.\u003C/em>\u003C/p>\n\u003Cp>\u003Cstrong>Get to Know Klaviyo\u003C/strong>\u003C/p>\n\u003Cp>We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.\u003C/p>\n\u003Cp>\u003Cem>AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. \u003C/em>\u003C/p>\n\u003Cp>\u003Cem>By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.\u003Cbr>\u003C/em>\u003C/p>\n\u003Cp>\u003Cem>Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.\u003C/em>\u003C/p>\n\u003Cp>\u003Cem>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.\u003C/em>\u003C/p>\n\n\u003Cp>\u003Cstrong>By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.\u003Cem>  \u003C/em>\u003C/strong>\u003Cem>You can find our Job Applicant Privacy Notice \u003C/em>\u003Cem>here\u003C/em>\u003Cem> and here (FR).\u003C/em>\u003C/p>","At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo's operational infrastructure, built and managed by our GTM Systems team, powers our GTM engine. We're looking for a Senior GTM Architect, a technical expert with end-to-end understanding of the systems behind marketing, sales, and customer experience, who can reimagine how that system works with an AI-first approach, and who is hands-on enough to build, ship, and de-risk the hardest parts. About the team Our GTM Systems team sits at the center of Klaviyo's GTM engine, powering the operational infrastructure that connects marketing, sales, partnerships, and customer success. We build and own the systems that enable our teams to move quickly, trust their data, and focus on what matters most: helping our customers grow. As we scale, we're rebuilding the marketing, sales, and CX stack around agentic AI as the operating model, not a bolt-on experiment. About the role As the Senior GTM Architect, you are the domain expert for how Klaviyo's marketing, sales, and customer experience systems work together and how they should work differently once AI agents, not just dashboards and workflows, are doing meaningful parts of the job. You own the architecture across our CRM (Salesforce), marketing automation, sales engagement, data enrichment, and CS/support platforms. You translate ambiguous GTM strategy into system architecture (data models, integration patterns, agentic workflows), drive the roadmap by looking around the corner with GTM leadership, and stay hands-on to build and ship meaningful parts of the solution yourself, not just diagram it from a distance. Because of the breadth of this remit, you'll regularly present architecture decisions and AI transformation strategy directly to senior GTM, RevOps, and executive leadership, and need to influence outcomes well above your reporting line. How you'll make an impact Own end-to-end GTM systems architecture: Salesforce, marketing automation, sales engagement, data enrichment, and CS/support platforms, ensuring seamless integration and clean, bidirectional data flow across marketing, sales, and customer success. Ship AI agents into production, not pilots: build and deploy agentic workflows replacing manual GTM work with intelligent, auditable automation. Redesign core GTM processes around AI: lead-to-revenue, opportunity management, renewals/expansion, and support handoffs, evaluating and piloting AI-native tools rather than just administering the existing stack. Stay hands-on: architect and ship meaningful pieces of the solution yourself (Apex, LWC, SOQL, integrations, AI orchestration layers), track your work transparently, and set the technical bar through code review and pairing. Establish data quality and governance standards that keep GTM data trustworthy at scale, and build the reporting infrastructure that leadership relies on to make decisions. Serve as the go-to domain expert and trusted advisor to Marketing, Sales, RevOps, CX, and senior/executive leadership translating complex architectural and AI tradeoffs into language that drives decisions in the room, not just documentation after the fact. Mentor engineers and GTM Systems teammates on system design, AI-native workflow design, and technical tradeoff thinking. What makes you a great fit You've been the technical decision-maker for a complex, multi-system GTM platform (Salesforce or similar) spanning more than one function: marketing, sales, and/or customer success. You are able to both design the architecture and build meaningful parts of it yourself, hands-on with Apex, LWC, Flow, and integrations. You have hands-on experience designing and building agentic AI/LLM-powered workflows for real business problems, and a clear, defensible point of view on where AI should replace human judgment in GTM workflows and where it shouldn't. You can translate ambiguous, cross-functional business problems (marketing, sales, CX, revenue operations) into a technical solution and a clear set of tradeoffs, then explain your reasoning to engineers and business stakeholders alike. You operate with a high degree of autonomy and influence: given a fuzzy, high-visibility problem, you can drive it from discovery through design through delivery, and you're comfortable being the person senior and executive leadership turns to for a straight answer. You have a track record of raising the bar for a team's engineering practice through code review, GitHub-based workflows, and technical mentorship, even when you're the most senior technical voice in the room. Nice to haves Salesforce Application Architect, System Architect, or similar architect-track certification (or equivalent demonstrated experience). Hands-on experience with LLM/agent frameworks (LangChain, CrewAI, LlamaIndex, Agentforce, or similar) and deploying them into production environments. Experience with the broader GTM tooling ecosystem, conversation intelligence (Gong), marketing automation (HubSpot), customer success (Gainsight) and data enrichment (ZoomInfo/Clearbit/Clay) and how each integrates with a CRM. Familiarity with vector databases and RAG patterns for grounding AI agents in GTM and CRM knowledge. Experience at a high-growth software company supporting marketing, sales, and CX systems together not just a single function. Why this role matters at Klaviyo This is not a purely strategic, diagrams-only architect role. Klaviyo's GTM Systems function is actively shifting its engineering standard toward pro-code, GitHub-based development and AI-assisted, agentic workflows across marketing, sales, and CX. You'll both set that direction and help build it. Here's what makes it worth your time: Your architecture decisions and your code directly affect how Klaviyo generates, converts, and retains revenue you own enough of both the design and the build to know it holds up. You'll have a broader canvas than a single-function systems role: marketing, sales, and CX are yours to architect as one system, not three. You'll help define what an AI-first GTM operating model looks like at Klaviyo establishing standards and practices that outlast any single sprint, and that leadership adopts because you made the case. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $164,000—$246,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).",0,1789774683000,"2026-09-19 01:40:27","2026-09-18T14:46:35-04:00",true,164000,246000,"CAD",{"jsonldValid":14,"jsonld":29},"",{"jobs":31},[32,41,55,61,77,83],{"id":33,"slug":34,"title":7,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":35,"country":36,"remote":14,"employmentType":37,"department":17,"content_html":18,"content_text":19,"years":20,"createdAt":21,"updatedAtISO":22,"postedAtISO":38,"hasSalary":24,"salaryMin":25,"salaryMax":26,"currency":39,"isPaid":14,"schema":40},"4f3b9b7164e354b601a399f7e6be717f548718e68ff47345d45aab555a903255","senior-lead-go-to-market-architect-at-klaviyo-2d3d1b3d71","Boston","United States",[16],"2026-09-18T14:46:37-04:00","USD",{"jsonldValid":14,"jsonld":29},{"id":42,"slug":43,"title":44,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":35,"country":36,"remote":14,"employmentType":45,"department":46,"content_html":47,"content_text":48,"years":20,"createdAt":49,"updatedAtISO":50,"postedAtISO":51,"hasSalary":24,"salaryMin":52,"salaryMax":53,"currency":39,"isPaid":14,"schema":54},"bf3530d4fadbabfab0c4e7baefff03e0a5ad10c01c36841369ef32c940e03984","product-marketing-manager-mobile-at-klaviyo-092819c514","Product Marketing Manager - Mobile",[16],"Product","\u003Cp>\u003Cem>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.\u003C/em>\u003C/p>\u003Cp>\u003Cstrong>About the Team and Role:\u003C/strong>\u003C/p>\n\u003Cp>We’re looking for a versatile Product Marketing Lead—a true Swiss Army knife—to join our K:Marketing PMM team. In this role, you’ll tackle SMS and Mobile Messaging, a premier strategic growth engine for Klaviyo and a critical component of our flagship marketing automation platform. Mobile communication—spanning SMS, MMS, push notifications, and emerging channels—is no longer an add-on; it is a foundational pillar of modern omnichannel commerce and a top priority driving revenue growth across our entire customer base.\u003C/p>\n\u003Cp>You’ll serve as the dedicated PMM partner for our Klaviyo SMS & Mobile product team, understanding market opportunities, deciphering the evolving mobile compliance landscape, analyzing competitive dynamics, and directly influencing our product roadmap. You will lead global product launches, rallying cross-functional stakeholders to execute comprehensive go-to-market strategies that accelerate adoption, expand global carrier coverage, and establish mobile as an indispensable, high-ROI channel for brands worldwide. You’ll leverage the momentum of Klaviyo’s trusted platform while driving the zero-to-one messaging strategy for new mobile innovations— mastering product-market fit, and unlocking high-velocity revenue growth.\u003C/p>\n\u003Cp>If you thrive in a fast-paced, high-growth environment, and want to show the world how real-time, hyper-personalized mobile experiences power modern customer relationships, this role is built for you!\u003C/p>\n\u003Cp>\u003Cstrong>How You’ll Make a Difference:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Strategic Positioning & Storytelling:\u003C/strong> Define the value proposition, messaging hierarchy, and positioning for Klaviyo’s SMS and Mobile product suite.\u003C/li>\n\u003Cli>\u003Cstrong>GTM & Product Launches: \u003C/strong>Drive end-to-end go-to-market strategies across Sales, Customer Success, Enablement, and Growth Marketing.\u003C/li>\n\u003Cli>\u003Cstrong>Market & Competitive Intelligence: \u003C/strong>Track global mobile trends to position Klaviyo as the most trusted, compliant, and powerful mobile marketing solution on the market.\u003C/li>\n\u003Cli>\u003Cstrong>Roadmap Evangelization & Influence: \u003C/strong>Partner closely with Product Management to champion customer needs, surface market gaps, and synthesize feedback.\u003C/li>\n\u003Cli>\u003Cstrong>Adoption & Revenue Growth:\u003C/strong> Develop targeted campaigns, ROI models, and cross-sell playbooks to enable merchants to scale seamlessly.\u003C/li>\n\u003Cli>\u003Cstrong>Sales Enablement & Deal Support:\u003C/strong> Build essential GTM assets (pitch decks, one-pagers, ROI calculators, enablement trainings) as a mobile Subject Matter Expert (SME) with sales.\u003C/li>\n\u003Cli>\u003Cstrong>Cross-Functional Leadership:\u003C/strong> Perform other related duties as assigned to support the overall objectives of the K:Marketing PMM organization and the mobile business unit.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Who You Are:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>2+ years of experience in B2B SaaS product marketing roles\u003C/li>\n\u003Cli>Marketing tech experience and or e-commerce is a huge plus\u003C/li>\n\u003Cli>Know what great work looks like – bringing in new product intro frameworks and playbooks for our team, while knowing when to create our own playbook to move fast\u003C/li>\n\u003Cli>Have examples of great positioning and messaging that cut through the noise and differentiated your product or service\u003C/li>\n\u003Cli>Love and thrive in a fast-paced, dynamic environment\u003C/li>\n\u003C/ul>\u003Cp>\u003Cstrong>Massachusetts Applicants:\u003Cbr>\u003C/strong>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\u003C/p>\n\u003Chr>\n\u003Cp>Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.\u003C/p>\n\u003Cp>In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. \u003C/p>\n\u003Cp>Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.\u003C/p>\u003Cp>Base Pay Range For US Locations:\u003C/p>\u003Cp>$88,000—$132,000 USD\u003C/p>\u003Cp>\u003Cem>This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.\u003C/em>\u003C/p>\n\u003Cp>\u003Cstrong>Get to Know Klaviyo\u003C/strong>\u003C/p>\n\u003Cp>We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.\u003C/p>\n\u003Cp>\u003Cem>AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. \u003C/em>\u003C/p>\n\u003Cp>\u003Cem>By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.\u003Cbr>\u003C/em>\u003C/p>\n\u003Cp>\u003Cem>Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.\u003C/em>\u003C/p>\n\u003Cp>\u003Cem>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.\u003C/em>\u003C/p>\n\n\u003Cp>\u003Cstrong>By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.\u003Cem>  \u003C/em>\u003C/strong>\u003Cem>You can find our Job Applicant Privacy Notice \u003C/em>\u003Cem>here\u003C/em>\u003Cem> and here (FR).\u003C/em>\u003C/p>","At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Team and Role: We’re looking for a versatile Product Marketing Lead—a true Swiss Army knife—to join our K:Marketing PMM team. In this role, you’ll tackle SMS and Mobile Messaging, a premier strategic growth engine for Klaviyo and a critical component of our flagship marketing automation platform. Mobile communication—spanning SMS, MMS, push notifications, and emerging channels—is no longer an add-on; it is a foundational pillar of modern omnichannel commerce and a top priority driving revenue growth across our entire customer base. You’ll serve as the dedicated PMM partner for our Klaviyo SMS & Mobile product team, understanding market opportunities, deciphering the evolving mobile compliance landscape, analyzing competitive dynamics, and directly influencing our product roadmap. You will lead global product launches, rallying cross-functional stakeholders to execute comprehensive go-to-market strategies that accelerate adoption, expand global carrier coverage, and establish mobile as an indispensable, high-ROI channel for brands worldwide. You’ll leverage the momentum of Klaviyo’s trusted platform while driving the zero-to-one messaging strategy for new mobile innovations— mastering product-market fit, and unlocking high-velocity revenue growth. If you thrive in a fast-paced, high-growth environment, and want to show the world how real-time, hyper-personalized mobile experiences power modern customer relationships, this role is built for you! How You’ll Make a Difference: Strategic Positioning & Storytelling: Define the value proposition, messaging hierarchy, and positioning for Klaviyo’s SMS and Mobile product suite. GTM & Product Launches: Drive end-to-end go-to-market strategies across Sales, Customer Success, Enablement, and Growth Marketing. Market & Competitive Intelligence: Track global mobile trends to position Klaviyo as the most trusted, compliant, and powerful mobile marketing solution on the market. Roadmap Evangelization & Influence: Partner closely with Product Management to champion customer needs, surface market gaps, and synthesize feedback. Adoption & Revenue Growth: Develop targeted campaigns, ROI models, and cross-sell playbooks to enable merchants to scale seamlessly. Sales Enablement & Deal Support: Build essential GTM assets (pitch decks, one-pagers, ROI calculators, enablement trainings) as a mobile Subject Matter Expert (SME) with sales. Cross-Functional Leadership: Perform other related duties as assigned to support the overall objectives of the K:Marketing PMM organization and the mobile business unit. Who You Are: 2+ years of experience in B2B SaaS product marketing roles Marketing tech experience and or e-commerce is a huge plus Know what great work looks like – bringing in new product intro frameworks and playbooks for our team, while knowing when to create our own playbook to move fast Have examples of great positioning and messaging that cut through the noise and differentiated your product or service Love and thrive in a fast-paced, dynamic environment Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $88,000—$132,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).",1788986294000,"2026-09-09 22:47:03","2026-09-09T15:09:01-04:00",88000,132000,{"jsonldValid":14,"jsonld":29},{"id":56,"slug":57,"title":44,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":12,"country":13,"remote":14,"employmentType":58,"department":46,"content_html":47,"content_text":48,"years":20,"createdAt":49,"updatedAtISO":50,"postedAtISO":59,"hasSalary":24,"salaryMin":52,"salaryMax":53,"currency":27,"isPaid":14,"schema":60},"8e29effaf787f2877ec761d2803aeeba19caf80b0a7f5187b3901ed0329763bf","product-marketing-manager-mobile-at-klaviyo-73843a6320",[16],"2026-09-09T15:09:03-04:00",{"jsonldValid":14,"jsonld":29},{"id":62,"slug":63,"title":64,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":35,"country":36,"remote":14,"employmentType":65,"department":67,"content_html":68,"content_text":69,"years":20,"createdAt":70,"updatedAtISO":71,"postedAtISO":72,"hasSalary":24,"salaryMin":73,"salaryMax":74,"currency":39,"isPaid":14,"schema":75},"6b928e93a7d830305b56459d5114ac0409ac9e8429a792d8226417f862e6f84c","lead-gtm-data-operations-analyst-ai-workflows-at-klaviyo-61ac48c753","Lead GTM Data Operations Analyst, AI Workflows",[66],"Contract","Data","\u003Cp>\u003Cem>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.\u003C/em>\u003C/p>\u003Ch3>\u003Cstrong>Why This Role, Why Now\u003C/strong>\u003C/h3>\n\u003Cp>GTM Data Strategy & Operations stood up from scratch with no predecessor. Today the function runs on \u003Cstrong>three offshore contractors and zero FTEs\u003C/strong>, managed by a single leader who is simultaneously building the agentic infrastructure, operating it in production, and driving major initiatives (hierarchy redesign, data quality assessment, vendor optimization).\u003C/p>\n\u003Cp>The operating model is deliberately \u003Cstrong>agentic AI–first\u003C/strong>: a multi-agent pipeline (Cartographer, Sentinel, Resolver, Reporting) handles detection, enrichment, hierarchy mapping, and conflict resolution at scale. This is not a future-state vision, these agents are live and processing enterprise account families in production today.\u003C/p>\n\u003Cp>\u003Cstrong>The problem: \u003C/strong>one person cannot build, operate, and extend this system while also managing strategic workstreams. The function currently covers only core Tier‑1 fields. Dozens of account, contact, and lead signals remain unaddressed. Every pipeline run, every failure diagnosis, and every offshore handoff flows through a single point of failure.\u003C/p>\n\u003Cp>This role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.\u003C/p>\n\u003Ch3>Role Summary\u003C/h3>\n\u003Cp>Sit between AI systems and GTM data. Operate, tune, and extend our agentic data quality pipeline (detection, enrichment, hierarchy mapping, conflict resolution) so it runs reliably, improves continuously, and expands to cover more of the data landscape. Own the handoff between automated output and human review, managing quality and throughput with our offshore team. You don’t build agents from scratch, but you run them, evaluate their output with GTM data judgment, and make them better.\u003C/p>\n\u003Ch3>\u003Cstrong>Core Responsibilities\u003C/strong>\u003C/h3>\n\u003Ch3>Agent Pipeline Operations\u003C/h3>\n\u003Cul>\n\u003Cli>Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.\u003C/li>\n\u003Cli>Execute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.\u003C/li>\n\u003Cli>Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Agent Tuning & Improvement\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.\u003C/li>\n\u003Cli>Evaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.\u003C/li>\n\u003Cli>Run bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Sentinel → Offshore Resolution Loop\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.\u003C/li>\n\u003Cli>Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.\u003C/li>\n\u003Cli>Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Data Quality & Enrichment Operations\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Maintain ops-only staging fields; manage the promote-to-production flow with audit controls.\u003C/li>\n\u003Cli>Design and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.\u003C/li>\n\u003Cli>Monitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.\u003C/li>\n\u003Cli>Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Cross-Functional Partnership\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>GTM Systems (SFDC): field configuration, permission sets, automation, flows.\u003C/li>\n\u003Cli>Data Engineering: source availability, ID mapping, lineage (no pipeline coding).\u003C/li>\n\u003Cli>Reporting: define metrics and acceptance criteria; partner on dashboard requirements.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>What to Expect\u003C/strong>\u003C/h3>\n\u003Cp>This is a triage environment, not a steady-state one. The function is young, the data has known gaps, and the work is to stabilize and extend, not maintain and optimize. You’ll be building the plane while flying it, alongside a small team that operates with high autonomy and a bias toward measurable outcomes. If ambiguity and mess energize you, this is the right fit.\u003C/p>\n\u003Ch3>\u003Cstrong>Success Metrics (6–12 Months)\u003C/strong>\u003C/h3>\n\u003Ch3>\u003Cstrong>Pipeline Reliability\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Scheduled pipeline runs execute without function-lead intervention; failure-to-resolution cycle time under 24 hours for non-blocking issues.\u003C/li>\n\u003Cli>Agent coverage extended to new data elements as prioritized (measured by number of signals under active detection).\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Detection & Resolution Quality\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Sentinel detection precision and recall improve quarter over quarter, tracked by segment.\u003C/li>\n\u003Cli>Concentrix resolution queue throughput and accuracy meet defined acceptance thresholds.\u003C/li>\n\u003Cli>False-positive rate decreases through feedback-loop refinement.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Data Quality Outcomes\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Tier-1 field fill-rates: Country ≥95%; Vertical ≥90% at ≥85% sampled accuracy; Revenue bands ≥90%.\u003C/li>\n\u003Cli>Hierarchy coverage 65–80%+ across target segments.\u003C/li>\n\u003Cli>Enterprise cost-per-record reduction of 30–40% via AI-first + selective vendor usage.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Qualifications\u003C/strong>\u003C/h3>\n\u003Ch3>\u003Cstrong>Required\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.\u003C/li>\n\u003Cli>Proficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).\u003C/li>\n\u003Cli>Working experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.\u003C/li>\n\u003Cli>Experience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.\u003C/li>\n\u003Cli>Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.\u003C/li>\n\u003Cli>Process design mindset with a bias toward measurable outcomes; strong written communication.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Strong Plus\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.\u003C/li>\n\u003Cli>Python for QA scripting, sampling, or light automation.\u003C/li>\n\u003Cli>Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Tool Stack\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Cstrong>Core: \u003C/strong>Snowflake (SQL), SFDC, Claude Code, Clay\u003C/li>\n\u003Cli>\u003Cstrong>Pipeline: \u003C/strong>Shell orchestration, Cartographer / Sentinel / Resolver agents\u003C/li>\n\u003Cli>\u003Cstrong>Enrichment: \u003C/strong>D&B, ZoomInfo, Clearbit, StoreLeads, LLM prompts\u003C/li>\n\u003Cli>\u003Cstrong>Nice to Have: \u003C/strong>Python, SOQL, prompt engineering frameworks\u003C/li>\n\u003Cli>\u003Cstrong>AI Guardrails (Expected Practice): \u003C/strong>Confidence floors, evidence capture, versioned prompts, 10% QA sampling gates, audit-on-promote, drift alerts, and privacy/compliance checks. This role is expected to uphold and improve these practices, not just follow them.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cbr>\u003Cbr>\u003C/p>\u003Cp>\u003Cstrong>Massachusetts Applicants:\u003Cbr>\u003C/strong>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\u003C/p>\n\u003Chr>\n\u003Cp>Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.\u003C/p>\n\u003Cp>In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. \u003C/p>\n\u003Cp>Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.\u003C/p>\u003Cp>Base Pay Range For US Locations:\u003C/p>\u003Cp>$124,000—$186,000 USD\u003C/p>\u003Cp>\u003Cem>This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.\u003C/em>\u003C/p>\n\u003Cp>\u003Cstrong>Get to Know Klaviyo\u003C/strong>\u003C/p>\n\u003Cp>We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.\u003C/p>\n\u003Cp>\u003Cem>AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. \u003C/em>\u003C/p>\n\u003Cp>\u003Cem>By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.\u003Cbr>\u003C/em>\u003C/p>\n\u003Cp>\u003Cem>Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.\u003C/em>\u003C/p>\n\u003Cp>\u003Cem>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.\u003C/em>\u003C/p>\n\n\u003Cp>\u003Cstrong>By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.\u003Cem>  \u003C/em>\u003C/strong>\u003Cem>You can find our Job Applicant Privacy Notice \u003C/em>\u003Cem>here\u003C/em>\u003Cem> and here (FR).\u003C/em>\u003C/p>","At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.Why This Role, Why Now\nGTM Data Strategy & Operations stood up from scratch with no predecessor. Today the function runs on three offshore contractors and zero FTEs, managed by a single leader who is simultaneously building the agentic infrastructure, operating it in production, and driving major initiatives (hierarchy redesign, data quality assessment, vendor optimization).\nThe operating model is deliberately agentic AI–first: a multi-agent pipeline (Cartographer, Sentinel, Resolver, Reporting) handles detection, enrichment, hierarchy mapping, and conflict resolution at scale. This is not a future-state vision, these agents are live and processing enterprise account families in production today.\nThe problem: one person cannot build, operate, and extend this system while also managing strategic workstreams. The function currently covers only core Tier‑1 fields. Dozens of account, contact, and lead signals remain unaddressed. Every pipeline run, every failure diagnosis, and every offshore handoff flows through a single point of failure.\nThis role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.\nRole Summary\nSit between AI systems and GTM data. Operate, tune, and extend our agentic data quality pipeline (detection, enrichment, hierarchy mapping, conflict resolution) so it runs reliably, improves continuously, and expands to cover more of the data landscape. Own the handoff between automated output and human review, managing quality and throughput with our offshore team. You don’t build agents from scratch, but you run them, evaluate their output with GTM data judgment, and make them better.\nCore Responsibilities\nAgent Pipeline Operations\n\nRun and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.\nExecute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.\nMaintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.\n\nAgent Tuning & Improvement\n\nRefine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.\nEvaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.\nRun bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.\n\nSentinel → Offshore Resolution Loop\n\nOwn the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.\nMonitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.\nClose the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.\n\nData Quality & Enrichment Operations\n\nMaintain ops-only staging fields; manage the promote-to-production flow with audit controls.\nDesign and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.\nMonitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.\nKeep data dictionaries, SOPs, and runbooks current as agents and processes evolve.\n\nCross-Functional Partnership\n\nGTM Systems (SFDC): field configuration, permission sets, automation, flows.\nData Engineering: source availability, ID mapping, lineage (no pipeline coding).\nReporting: define metrics and acceptance criteria; partner on dashboard requirements.\n\nWhat to Expect\nThis is a triage environment, not a steady-state one. The function is young, the data has known gaps, and the work is to stabilize and extend, not maintain and optimize. You’ll be building the plane while flying it, alongside a small team that operates with high autonomy and a bias toward measurable outcomes. If ambiguity and mess energize you, this is the right fit.\nSuccess Metrics (6–12 Months)\nPipeline Reliability\n\nScheduled pipeline runs execute without function-lead intervention; failure-to-resolution cycle time under 24 hours for non-blocking issues.\nAgent coverage extended to new data elements as prioritized (measured by number of signals under active detection).\n\nDetection & Resolution Quality\n\nSentinel detection precision and recall improve quarter over quarter, tracked by segment.\nConcentrix resolution queue throughput and accuracy meet defined acceptance thresholds.\nFalse-positive rate decreases through feedback-loop refinement.\n\nData Quality Outcomes\n\nTier-1 field fill-rates: Country ≥95%; Vertical ≥90% at ≥85% sampled accuracy; Revenue bands ≥90%.\nHierarchy coverage 65–80%+ across target segments.\nEnterprise cost-per-record reduction of 30–40% via AI-first + selective vendor usage.\n\nQualifications\nRequired\n\n3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.\nProficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).\nWorking experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.\nExperience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.\nComfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.\nProcess design mindset with a bias toward measurable outcomes; strong written communication.\n\nStrong Plus\n\nExperience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.\nPython for QA scripting, sampling, or light automation.\nFamiliarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).\n\nTool Stack\n\nCore: Snowflake (SQL), SFDC, Claude Code, Clay\nPipeline: Shell orchestration, Cartographer / Sentinel / Resolver agents\nEnrichment: D&B, ZoomInfo, Clearbit, StoreLeads, LLM prompts\nNice to Have: Python, SOQL, prompt engineering frameworks\nAI Guardrails (Expected Practice): Confidence floors, evidence capture, versioned prompts, 10% QA sampling gates, audit-on-promote, drift alerts, and privacy/compliance checks. This role is expected to uphold and improve these practices, not just follow them.\n\nMassachusetts Applicants:It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\n\nOur salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.\nIn addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. \nYour recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.Base Pay Range For US Locations:$124,000—$186,000 USDThis role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.\nGet to Know Klaviyo\nWe’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.\nAI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. \nBy participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.\nKlaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.\nIMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.\n\nBy clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.  You can find our Job Applicant Privacy Notice here and here (FR).",1788795007000,"2026-09-08 05:25:51","2026-09-01T07:03:02.000Z",124000,186000,{"jsonldValid":24,"jsonld":76},"{\"@context\":\"https://schema.org\",\"@type\":\"JobPosting\",\"title\":\"Lead GTM Data Operations Analyst, AI Workflows\",\"description\":\"\u003Cp>\u003Cem>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.\u003C/em>\u003C/p>\u003Ch3>\u003Cstrong>Why This Role, Why Now\u003C/strong>\u003C/h3>\\n\u003Cp>GTM Data Strategy & Operations stood up from scratch with no predecessor. Today the function runs on \u003Cstrong>three offshore contractors and zero FTEs\u003C/strong>, managed by a single leader who is simultaneously building the agentic infrastructure, operating it in production, and driving major initiatives (hierarchy redesign, data quality assessment, vendor optimization).\u003C/p>\\n\u003Cp>The operating model is deliberately \u003Cstrong>agentic AI–first\u003C/strong>: a multi-agent pipeline (Cartographer, Sentinel, Resolver, Reporting) handles detection, enrichment, hierarchy mapping, and conflict resolution at scale. This is not a future-state vision, these agents are live and processing enterprise account families in production today.\u003C/p>\\n\u003Cp>\u003Cstrong>The problem: \u003C/strong>one person cannot build, operate, and extend this system while also managing strategic workstreams. The function currently covers only core Tier‑1 fields. Dozens of account, contact, and lead signals remain unaddressed. Every pipeline run, every failure diagnosis, and every offshore handoff flows through a single point of failure.\u003C/p>\\n\u003Cp>This role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.\u003C/p>\\n\u003Ch3>Role Summary\u003C/h3>\\n\u003Cp>Sit between AI systems and GTM data. Operate, tune, and extend our agentic data quality pipeline (detection, enrichment, hierarchy mapping, conflict resolution) so it runs reliably, improves continuously, and expands to cover more of the data landscape. Own the handoff between automated output and human review, managing quality and throughput with our offshore team. You don’t build agents from scratch, but you run them, evaluate their output with GTM data judgment, and make them better.\u003C/p>\\n\u003Ch3>\u003Cstrong>Core Responsibilities\u003C/strong>\u003C/h3>\\n\u003Ch3>Agent Pipeline Operations\u003C/h3>\\n\u003Cul>\\n\u003Cli>Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.\u003C/li>\\n\u003Cli>Execute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.\u003C/li>\\n\u003Cli>Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Agent Tuning & Improvement\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.\u003C/li>\\n\u003Cli>Evaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.\u003C/li>\\n\u003Cli>Run bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Sentinel → Offshore Resolution Loop\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.\u003C/li>\\n\u003Cli>Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.\u003C/li>\\n\u003Cli>Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Data Quality & Enrichment Operations\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Maintain ops-only staging fields; manage the promote-to-production flow with audit controls.\u003C/li>\\n\u003Cli>Design and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.\u003C/li>\\n\u003Cli>Monitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.\u003C/li>\\n\u003Cli>Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Cross-Functional Partnership\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>GTM Systems (SFDC): field configuration, permission sets, automation, flows.\u003C/li>\\n\u003Cli>Data Engineering: source availability, ID mapping, lineage (no pipeline coding).\u003C/li>\\n\u003Cli>Reporting: define metrics and acceptance criteria; partner on dashboard requirements.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>What to Expect\u003C/strong>\u003C/h3>\\n\u003Cp>This is a triage environment, not a steady-state one. The function is young, the data has known gaps, and the work is to stabilize and extend, not maintain and optimize. You’ll be building the plane while flying it, alongside a small team that operates with high autonomy and a bias toward measurable outcomes. If ambiguity and mess energize you, this is the right fit.\u003C/p>\\n\u003Ch3>\u003Cstrong>Success Metrics (6–12 Months)\u003C/strong>\u003C/h3>\\n\u003Ch3>\u003Cstrong>Pipeline Reliability\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Scheduled pipeline runs execute without function-lead intervention; failure-to-resolution cycle time under 24 hours for non-blocking issues.\u003C/li>\\n\u003Cli>Agent coverage extended to new data elements as prioritized (measured by number of signals under active detection).\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Detection & Resolution Quality\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Sentinel detection precision and recall improve quarter over quarter, tracked by segment.\u003C/li>\\n\u003Cli>Concentrix resolution queue throughput and accuracy meet defined acceptance thresholds.\u003C/li>\\n\u003Cli>False-positive rate decreases through feedback-loop refinement.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Data Quality Outcomes\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Tier-1 field fill-rates: Country ≥95%; Vertical ≥90% at ≥85% sampled accuracy; Revenue bands ≥90%.\u003C/li>\\n\u003Cli>Hierarchy coverage 65–80%+ across target segments.\u003C/li>\\n\u003Cli>Enterprise cost-per-record reduction of 30–40% via AI-first + selective vendor usage.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Qualifications\u003C/strong>\u003C/h3>\\n\u003Ch3>\u003Cstrong>Required\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.\u003C/li>\\n\u003Cli>Proficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).\u003C/li>\\n\u003Cli>Working experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.\u003C/li>\\n\u003Cli>Experience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.\u003C/li>\\n\u003Cli>Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.\u003C/li>\\n\u003Cli>Process design mindset with a bias toward measurable outcomes; strong written communication.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Strong Plus\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.\u003C/li>\\n\u003Cli>Python for QA scripting, sampling, or light automation.\u003C/li>\\n\u003Cli>Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Tool Stack\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>\u003Cstrong>Core: \u003C/strong>Snowflake (SQL), SFDC, Claude Code, Clay\u003C/li>\\n\u003Cli>\u003Cstrong>Pipeline: \u003C/strong>Shell orchestration, Cartographer / Sentinel / Resolver agents\u003C/li>\\n\u003Cli>\u003Cstrong>Enrichment: \u003C/strong>D&B, ZoomInfo, Clearbit, StoreLeads, LLM prompts\u003C/li>\\n\u003Cli>\u003Cstrong>Nice to Have: \u003C/strong>Python, SOQL, prompt engineering frameworks\u003C/li>\\n\u003Cli>\u003Cstrong>AI Guardrails (Expected Practice): \u003C/strong>Confidence floors, evidence capture, versioned prompts, 10% QA sampling gates, audit-on-promote, drift alerts, and privacy/compliance checks. This role is expected to uphold and improve these practices, not just follow them.\u003C/li>\\n\u003C/ul>\\n\u003Cp>\u003Cbr>\u003Cbr>\u003C/p>\u003Cp>\u003Cstrong>Massachusetts Applicants:\u003Cbr>\u003C/strong>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\u003C/p>\\n\u003Chr>\\n\u003Cp>Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.\u003C/p>\\n\u003Cp>In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. \u003C/p>\\n\u003Cp>Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.\u003C/p>\u003Cp>Base Pay Range For US Locations:\u003C/p>\u003Cp>$124,000—$186,000 USD\u003C/p>\u003Cp>\u003Cem>This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.\u003C/em>\u003C/p>\\n\u003Cp>\u003Cstrong>Get to Know Klaviyo\u003C/strong>\u003C/p>\\n\u003Cp>We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.\u003C/p>\\n\u003Cp>\u003Cem>AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. \u003C/em>\u003C/p>\\n\u003Cp>\u003Cem>By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.\u003Cbr>\u003C/em>\u003C/p>\\n\u003Cp>\u003Cem>Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.\u003C/em>\u003C/p>\\n\u003Cp>\u003Cem>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.\u003C/em>\u003C/p>\\n\\n\u003Cp>\u003Cstrong>By clicking \\\"Submit Application\\\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.\u003Cem>  \u003C/em>\u003C/strong>\u003Cem>You can find our Job Applicant Privacy Notice \u003C/em>\u003Cem>here\u003C/em>\u003Cem> and here (FR).\u003C/em>\u003C/p>\",\"datePosted\":\"2026-09-01T07:03:02.000Z\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"Klaviyo\",\"sameAs\":\"https://www.klaviyo.com/b2c-crm\",\"logo\":\"https://logo.clearbit.com/klaviyo.com\"},\"identifier\":{\"@type\":\"PropertyValue\",\"name\":\"Klaviyo\",\"value\":\"6b928e93a7d830305b56459d5114ac0409ac9e8429a792d8226417f862e6f84c\"},\"employmentType\":\"FULL_TIME\",\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"@type\":\"PostalAddress\",\"addressLocality\":\"Boston\",\"addressRegion\":\"MA\",\"addressCountry\":\"US\"}}}",{"id":78,"slug":79,"title":64,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":12,"country":13,"remote":14,"employmentType":80,"department":67,"content_html":68,"content_text":69,"years":20,"createdAt":70,"updatedAtISO":71,"postedAtISO":72,"hasSalary":24,"salaryMin":73,"salaryMax":74,"currency":27,"isPaid":14,"schema":81},"bc9bec3ce34a94b220aee0c8f8c7c28ab5484feb02b9e316cdacebcd5cdfd596","lead-gtm-data-operations-analyst-ai-workflows-at-klaviyo-955f88f0c1",[66],{"jsonldValid":24,"jsonld":82},"{\"@context\":\"https://schema.org\",\"@type\":\"JobPosting\",\"title\":\"Lead GTM Data Operations Analyst, AI Workflows\",\"description\":\"\u003Cp>\u003Cem>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.\u003C/em>\u003C/p>\u003Ch3>\u003Cstrong>Why This Role, Why Now\u003C/strong>\u003C/h3>\\n\u003Cp>GTM Data Strategy & Operations stood up from scratch with no predecessor. Today the function runs on \u003Cstrong>three offshore contractors and zero FTEs\u003C/strong>, managed by a single leader who is simultaneously building the agentic infrastructure, operating it in production, and driving major initiatives (hierarchy redesign, data quality assessment, vendor optimization).\u003C/p>\\n\u003Cp>The operating model is deliberately \u003Cstrong>agentic AI–first\u003C/strong>: a multi-agent pipeline (Cartographer, Sentinel, Resolver, Reporting) handles detection, enrichment, hierarchy mapping, and conflict resolution at scale. This is not a future-state vision, these agents are live and processing enterprise account families in production today.\u003C/p>\\n\u003Cp>\u003Cstrong>The problem: \u003C/strong>one person cannot build, operate, and extend this system while also managing strategic workstreams. The function currently covers only core Tier‑1 fields. Dozens of account, contact, and lead signals remain unaddressed. Every pipeline run, every failure diagnosis, and every offshore handoff flows through a single point of failure.\u003C/p>\\n\u003Cp>This role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.\u003C/p>\\n\u003Ch3>Role Summary\u003C/h3>\\n\u003Cp>Sit between AI systems and GTM data. Operate, tune, and extend our agentic data quality pipeline (detection, enrichment, hierarchy mapping, conflict resolution) so it runs reliably, improves continuously, and expands to cover more of the data landscape. Own the handoff between automated output and human review, managing quality and throughput with our offshore team. You don’t build agents from scratch, but you run them, evaluate their output with GTM data judgment, and make them better.\u003C/p>\\n\u003Ch3>\u003Cstrong>Core Responsibilities\u003C/strong>\u003C/h3>\\n\u003Ch3>Agent Pipeline Operations\u003C/h3>\\n\u003Cul>\\n\u003Cli>Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.\u003C/li>\\n\u003Cli>Execute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.\u003C/li>\\n\u003Cli>Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Agent Tuning & Improvement\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.\u003C/li>\\n\u003Cli>Evaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.\u003C/li>\\n\u003Cli>Run bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Sentinel → Offshore Resolution Loop\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.\u003C/li>\\n\u003Cli>Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.\u003C/li>\\n\u003Cli>Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Data Quality & Enrichment Operations\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Maintain ops-only staging fields; manage the promote-to-production flow with audit controls.\u003C/li>\\n\u003Cli>Design and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.\u003C/li>\\n\u003Cli>Monitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.\u003C/li>\\n\u003Cli>Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Cross-Functional Partnership\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>GTM Systems (SFDC): field configuration, permission sets, automation, flows.\u003C/li>\\n\u003Cli>Data Engineering: source availability, ID mapping, lineage (no pipeline coding).\u003C/li>\\n\u003Cli>Reporting: define metrics and acceptance criteria; partner on dashboard requirements.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>What to Expect\u003C/strong>\u003C/h3>\\n\u003Cp>This is a triage environment, not a steady-state one. The function is young, the data has known gaps, and the work is to stabilize and extend, not maintain and optimize. You’ll be building the plane while flying it, alongside a small team that operates with high autonomy and a bias toward measurable outcomes. If ambiguity and mess energize you, this is the right fit.\u003C/p>\\n\u003Ch3>\u003Cstrong>Success Metrics (6–12 Months)\u003C/strong>\u003C/h3>\\n\u003Ch3>\u003Cstrong>Pipeline Reliability\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Scheduled pipeline runs execute without function-lead intervention; failure-to-resolution cycle time under 24 hours for non-blocking issues.\u003C/li>\\n\u003Cli>Agent coverage extended to new data elements as prioritized (measured by number of signals under active detection).\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Detection & Resolution Quality\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Sentinel detection precision and recall improve quarter over quarter, tracked by segment.\u003C/li>\\n\u003Cli>Concentrix resolution queue throughput and accuracy meet defined acceptance thresholds.\u003C/li>\\n\u003Cli>False-positive rate decreases through feedback-loop refinement.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Data Quality Outcomes\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Tier-1 field fill-rates: Country ≥95%; Vertical ≥90% at ≥85% sampled accuracy; Revenue bands ≥90%.\u003C/li>\\n\u003Cli>Hierarchy coverage 65–80%+ across target segments.\u003C/li>\\n\u003Cli>Enterprise cost-per-record reduction of 30–40% via AI-first + selective vendor usage.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Qualifications\u003C/strong>\u003C/h3>\\n\u003Ch3>\u003Cstrong>Required\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.\u003C/li>\\n\u003Cli>Proficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).\u003C/li>\\n\u003Cli>Working experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.\u003C/li>\\n\u003Cli>Experience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.\u003C/li>\\n\u003Cli>Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.\u003C/li>\\n\u003Cli>Process design mindset with a bias toward measurable outcomes; strong written communication.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Strong Plus\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.\u003C/li>\\n\u003Cli>Python for QA scripting, sampling, or light automation.\u003C/li>\\n\u003Cli>Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Tool Stack\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>\u003Cstrong>Core: \u003C/strong>Snowflake (SQL), SFDC, Claude Code, Clay\u003C/li>\\n\u003Cli>\u003Cstrong>Pipeline: \u003C/strong>Shell orchestration, Cartographer / Sentinel / Resolver agents\u003C/li>\\n\u003Cli>\u003Cstrong>Enrichment: \u003C/strong>D&B, ZoomInfo, Clearbit, StoreLeads, LLM prompts\u003C/li>\\n\u003Cli>\u003Cstrong>Nice to Have: \u003C/strong>Python, SOQL, prompt engineering frameworks\u003C/li>\\n\u003Cli>\u003Cstrong>AI Guardrails (Expected Practice): \u003C/strong>Confidence floors, evidence capture, versioned prompts, 10% QA sampling gates, audit-on-promote, drift alerts, and privacy/compliance checks. This role is expected to uphold and improve these practices, not just follow them.\u003C/li>\\n\u003C/ul>\\n\u003Cp>\u003Cbr>\u003Cbr>\u003C/p>\u003Cp>\u003Cstrong>Massachusetts Applicants:\u003Cbr>\u003C/strong>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\u003C/p>\\n\u003Chr>\\n\u003Cp>Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.\u003C/p>\\n\u003Cp>In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. \u003C/p>\\n\u003Cp>Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.\u003C/p>\u003Cp>Base Pay Range For US Locations:\u003C/p>\u003Cp>$124,000—$186,000 USD\u003C/p>\u003Cp>\u003Cem>This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.\u003C/em>\u003C/p>\\n\u003Cp>\u003Cstrong>Get to Know Klaviyo\u003C/strong>\u003C/p>\\n\u003Cp>We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.\u003C/p>\\n\u003Cp>\u003Cem>AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. \u003C/em>\u003C/p>\\n\u003Cp>\u003Cem>By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.\u003Cbr>\u003C/em>\u003C/p>\\n\u003Cp>\u003Cem>Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.\u003C/em>\u003C/p>\\n\u003Cp>\u003Cem>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.\u003C/em>\u003C/p>\\n\\n\u003Cp>\u003Cstrong>By clicking \\\"Submit Application\\\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.\u003Cem>  \u003C/em>\u003C/strong>\u003Cem>You can find our Job Applicant Privacy Notice \u003C/em>\u003Cem>here\u003C/em>\u003Cem> and here (FR).\u003C/em>\u003C/p>\",\"datePosted\":\"2026-09-01T07:03:02.000Z\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"Klaviyo\",\"sameAs\":\"https://www.klaviyo.com/b2c-crm\",\"logo\":\"https://logo.clearbit.com/klaviyo.com\"},\"identifier\":{\"@type\":\"PropertyValue\",\"name\":\"Klaviyo\",\"value\":\"bc9bec3ce34a94b220aee0c8f8c7c28ab5484feb02b9e316cdacebcd5cdfd596\"},\"employmentType\":\"FULL_TIME\",\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"@type\":\"PostalAddress\",\"addressLocality\":\"San Francisco\",\"addressRegion\":\"CA\",\"addressCountry\":\"CA\"}}}",{"id":84,"slug":85,"title":64,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":86,"country":87,"remote":14,"employmentType":88,"department":67,"content_html":68,"content_text":69,"years":20,"createdAt":70,"updatedAtISO":71,"postedAtISO":72,"hasSalary":24,"salaryMin":73,"salaryMax":74,"currency":89,"isPaid":14,"schema":90},"2f6626baf3d3d5f70aa7eecc36f5013eb099eb08bd48fd2849265f8a63824dce","lead-gtm-data-operations-analyst-ai-workflows-at-klaviyo-fe1e2aa17b","Denver","Colombia",[66],"COP",{"jsonldValid":24,"jsonld":91},"{\"@context\":\"https://schema.org\",\"@type\":\"JobPosting\",\"title\":\" Lead GTM Data Operations Analyst, AI Workflows\",\"description\":\"\u003Cp>\u003Cem>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.\u003C/em>\u003C/p>\u003Ch3>\u003Cstrong>Why This Role, Why Now\u003C/strong>\u003C/h3>\\n\u003Cp>GTM Data Strategy & Operations stood up from scratch with no predecessor. Today the function runs on \u003Cstrong>three offshore contractors and zero FTEs\u003C/strong>, managed by a single leader who is simultaneously building the agentic infrastructure, operating it in production, and driving major initiatives (hierarchy redesign, data quality assessment, vendor optimization).\u003C/p>\\n\u003Cp>The operating model is deliberately \u003Cstrong>agentic AI–first\u003C/strong>: a multi-agent pipeline (Cartographer, Sentinel, Resolver, Reporting) handles detection, enrichment, hierarchy mapping, and conflict resolution at scale. This is not a future-state vision, these agents are live and processing enterprise account families in production today.\u003C/p>\\n\u003Cp>\u003Cstrong>The problem: \u003C/strong>one person cannot build, operate, and extend this system while also managing strategic workstreams. The function currently covers only core Tier‑1 fields. Dozens of account, contact, and lead signals remain unaddressed. Every pipeline run, every failure diagnosis, and every offshore handoff flows through a single point of failure.\u003C/p>\\n\u003Cp>This role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.\u003C/p>\\n\u003Ch3>Role Summary\u003C/h3>\\n\u003Cp>Sit between AI systems and GTM data. Operate, tune, and extend our agentic data quality pipeline (detection, enrichment, hierarchy mapping, conflict resolution) so it runs reliably, improves continuously, and expands to cover more of the data landscape. Own the handoff between automated output and human review, managing quality and throughput with our offshore team. You don’t build agents from scratch, but you run them, evaluate their output with GTM data judgment, and make them better.\u003C/p>\\n\u003Ch3>\u003Cstrong>Core Responsibilities\u003C/strong>\u003C/h3>\\n\u003Ch3>Agent Pipeline Operations\u003C/h3>\\n\u003Cul>\\n\u003Cli>Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.\u003C/li>\\n\u003Cli>Execute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.\u003C/li>\\n\u003Cli>Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Agent Tuning & Improvement\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.\u003C/li>\\n\u003Cli>Evaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.\u003C/li>\\n\u003Cli>Run bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Sentinel → Offshore Resolution Loop\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.\u003C/li>\\n\u003Cli>Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.\u003C/li>\\n\u003Cli>Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Data Quality & Enrichment Operations\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Maintain ops-only staging fields; manage the promote-to-production flow with audit controls.\u003C/li>\\n\u003Cli>Design and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.\u003C/li>\\n\u003Cli>Monitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.\u003C/li>\\n\u003Cli>Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Cross-Functional Partnership\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>GTM Systems (SFDC): field configuration, permission sets, automation, flows.\u003C/li>\\n\u003Cli>Data Engineering: source availability, ID mapping, lineage (no pipeline coding).\u003C/li>\\n\u003Cli>Reporting: define metrics and acceptance criteria; partner on dashboard requirements.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>What to Expect\u003C/strong>\u003C/h3>\\n\u003Cp>This is a triage environment, not a steady-state one. The function is young, the data has known gaps, and the work is to stabilize and extend, not maintain and optimize. You’ll be building the plane while flying it, alongside a small team that operates with high autonomy and a bias toward measurable outcomes. If ambiguity and mess energize you, this is the right fit.\u003C/p>\\n\u003Ch3>\u003Cstrong>Success Metrics (6–12 Months)\u003C/strong>\u003C/h3>\\n\u003Ch3>\u003Cstrong>Pipeline Reliability\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Scheduled pipeline runs execute without function-lead intervention; failure-to-resolution cycle time under 24 hours for non-blocking issues.\u003C/li>\\n\u003Cli>Agent coverage extended to new data elements as prioritized (measured by number of signals under active detection).\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Detection & Resolution Quality\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Sentinel detection precision and recall improve quarter over quarter, tracked by segment.\u003C/li>\\n\u003Cli>Concentrix resolution queue throughput and accuracy meet defined acceptance thresholds.\u003C/li>\\n\u003Cli>False-positive rate decreases through feedback-loop refinement.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Data Quality Outcomes\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Tier-1 field fill-rates: Country ≥95%; Vertical ≥90% at ≥85% sampled accuracy; Revenue bands ≥90%.\u003C/li>\\n\u003Cli>Hierarchy coverage 65–80%+ across target segments.\u003C/li>\\n\u003Cli>Enterprise cost-per-record reduction of 30–40% via AI-first + selective vendor usage.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Qualifications\u003C/strong>\u003C/h3>\\n\u003Ch3>\u003Cstrong>Required\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.\u003C/li>\\n\u003Cli>Proficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).\u003C/li>\\n\u003Cli>Working experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.\u003C/li>\\n\u003Cli>Experience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.\u003C/li>\\n\u003Cli>Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.\u003C/li>\\n\u003Cli>Process design mindset with a bias toward measurable outcomes; strong written communication.\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Strong Plus\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.\u003C/li>\\n\u003Cli>Python for QA scripting, sampling, or light automation.\u003C/li>\\n\u003Cli>Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).\u003C/li>\\n\u003C/ul>\\n\u003Ch3>\u003Cstrong>Tool Stack\u003C/strong>\u003C/h3>\\n\u003Cul>\\n\u003Cli>\u003Cstrong>Core: \u003C/strong>Snowflake (SQL), SFDC, Claude Code, Clay\u003C/li>\\n\u003Cli>\u003Cstrong>Pipeline: \u003C/strong>Shell orchestration, Cartographer / Sentinel / Resolver agents\u003C/li>\\n\u003Cli>\u003Cstrong>Enrichment: \u003C/strong>D&B, ZoomInfo, Clearbit, StoreLeads, LLM prompts\u003C/li>\\n\u003Cli>\u003Cstrong>Nice to Have: \u003C/strong>Python, SOQL, prompt engineering frameworks\u003C/li>\\n\u003Cli>\u003Cstrong>AI Guardrails (Expected Practice): \u003C/strong>Confidence floors, evidence capture, versioned prompts, 10% QA sampling gates, audit-on-promote, drift alerts, and privacy/compliance checks. This role is expected to uphold and improve these practices, not just follow them.\u003C/li>\\n\u003C/ul>\\n\u003Cp>\u003Cbr>\u003Cbr>\u003C/p>\u003Cp>\u003Cstrong>Massachusetts Applicants:\u003Cbr>\u003C/strong>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\u003C/p>\\n\u003Chr>\\n\u003Cp>Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.\u003C/p>\\n\u003Cp>In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. \u003C/p>\\n\u003Cp>Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.\u003C/p>\u003Cp>Base Pay Range For US Locations:\u003C/p>\u003Cp>$124,000—$186,000 USD\u003C/p>\u003Cp>\u003Cem>This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.\u003C/em>\u003C/p>\\n\u003Cp>\u003Cstrong>Get to Know Klaviyo\u003C/strong>\u003C/p>\\n\u003Cp>We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.\u003C/p>\\n\u003Cp>\u003Cem>AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. \u003C/em>\u003C/p>\\n\u003Cp>\u003Cem>By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.\u003Cbr>\u003C/em>\u003C/p>\\n\u003Cp>\u003Cem>Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.\u003C/em>\u003C/p>\\n\u003Cp>\u003Cem>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.\u003C/em>\u003C/p>\\n\\n\u003Cp>\u003Cstrong>By clicking \\\"Submit Application\\\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.\u003Cem>  \u003C/em>\u003C/strong>\u003Cem>You can find our Job Applicant Privacy Notice \u003C/em>\u003Cem>here\u003C/em>\u003Cem> and here (FR).\u003C/em>\u003C/p>\",\"datePosted\":\"2026-09-01T07:03:02.000Z\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"Klaviyo\",\"sameAs\":\"https://www.klaviyo.com/b2c-crm\",\"logo\":\"https://logo.clearbit.com/klaviyo.com\"},\"identifier\":{\"@type\":\"PropertyValue\",\"name\":\"Klaviyo\",\"value\":\"2f6626baf3d3d5f70aa7eecc36f5013eb099eb08bd48fd2849265f8a63824dce\"},\"employmentType\":\"FULL_TIME\",\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"@type\":\"PostalAddress\",\"addressLocality\":\"Denver\",\"addressRegion\":\"CO\",\"addressCountry\":\"CO\"}}}",1789810847359]