Senior Product Manager, Personalization

Senior Product Manager, AI Analytics Product Boston, MA 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 The AI & Analytics pillar powers how Klaviyo's customers understand their business, trust their data, and take action on insights. Our work spans the full analytics stack: from the foundational reporting infrastructure that every team at Klaviyo builds on top of, to AI-powered experiences that help marketers understand performance, explore their data, and take action — all from within the Klaviyo platform. As Klaviyo expands into Enterprise, Omnichannel, and AI-driven marketing, our analytics platform is evolving to match. That means modernizing the infrastructure underneath reporting, building AI experiences that are genuinely trustworthy and differentiated, and extending analytics to serve the needs of multi-brand Enterprise customers for the first time. About the Role We\'re looking for a Senior Product Manager to own Klaviyo's Analytics AI product area — a cluster of tightly connected product challenges at the intersection of AI, data infrastructure, and analytics UX. Your primary and largest ownership area is the Analytics Agent : Klaviyo's in-product AI inside Composer that answers performance questions, surfaces insights, and serves as the shared intelligence foundation that every other Expert Agent in Klaviyo relies on for data grounding. How do you build an AI that gives answers a marketer can trust — ones that match the numbers already in the app? How do you go beyond returning metrics to delivering the "why" and the recommended next action? How do you reach data that generic LLMs over public APIs structurally cannot, and translate complex query infrastructure into simple, intuitive experiences that customers actually use? These are the questions this role is organized around. Beyond the Analytics Agent, this PM will own AI-native analytics UX (data visualization skills, AI-generated dashboards), the PM-side of Klaviyo's query infrastructure modernization, multi-brand organization analytics experiences, and ongoing platform health for core reporting surfaces. This is a high-visibility, high-leverage seat. The work you deliver will be felt across Klaviyo's entire agentic product suite, the Analytics SKU, and the Enterprise customer base. How You'll Make a Difference Own strategy and H2+ roadmap execution for the Analytics Agent across five pillars: Trust (quality, correctness, and reaching parity), Intelligence (metrics → insight → recommendation → action), Breadth (expanding to data that public APIs can't reach), Foundation (agent-as-a-tool architecture for Composer's multi-agent orchestration layer), and Experience (AI-generated charts, dashboards, and proactive in-context insights) Build and own the quality measurement system for the Analytics Agent — design evals, LLM-as-judge scoring, and a golden set of production cases so the team can measure quality improvements reliably every week Own AI-generated analytics UX: define the right integration model between Composer's charting infrastructure, Core Reporting, and Analytics AI; ship a coherent NLI-driven visualization and dashboard creation experience Own the PM-side of Klaviyo's query infrastructure transition — as query execution engine migrates and new analytics capabilities become possible, define what that unlocks for customers, sequence migration priorities by customer value, and ensure the transition doesn't create gaps in existing surfaces Partner closely with the hiring manager on multi-account analytics & activation experiences for Enterprise Organizations Work cross-functionally to drive multi-team alignment across a fast-moving, architecturally complex product area Write clear, rigorous product specs for AI behaviors, data-heavy features, and platform-level changes — artifacts that reflect deep understanding of edge cases, data semantics, and technical tradeoffs Maintain accountability for the health, quality, and steady-state reliability of core reporting surfaces Who You Are You have 3–5+ years of product management experience, with a strong track record of independently owning complex, multi-stakeholder product areas from strategy through execution You have direct, hands-on experience building AI or ML-powered products — not just products that use AI as a feature, but products where model quality, evaluation, and data grounding were core PM responsibilities You have a strong data and analytics product background — you've built or owned analytics, reporting, data visualization, or BI products and you care deeply about data accuracy, metric consistency, and customer trust in data You have demonstrated UX judgment for complex data experiences: you translate hard query infrastructure problems into simple, intuitive user-facing patterns, and you have a strong opinion on what makes a great data product You're comfortable working alongside major platform migrations or infrastructure transitions and can translate technical architecture shifts into product decisions and customer-value sequencing You can influence multi-team roadmaps without direct authority — you've navigated competing priorities across platform, feature, and infrastructure teams and made things move You write clear, rigorous product specs for data-heavy and AI features — your artifacts reflect deep understanding of edge cases, failure modes, and technical tradeoffs You're technically fluent enough to reason about LLM-based systems (evals, agent architecture, tool-use, retrieval), query infrastructure (semantic layers, schema design, query performance), and how they connect to customer-facing product decisions Nice to Have Prior ownership of an in-product AI assistant, chatbot, or analytics agent in a B2B SaaS context Experience designing agent-to-agent interfaces or building products within a multi-agent orchestration system Familiarity with semantic data layers, query abstraction, or analytics infrastructure modernization projects Background in e-commerce, martech, or CDPs/CRMs, or marketing analytics — you understand how marketers think about campaign performance, attribution, and audience analysis Experience working closely with data engineering or data platform teams as a PM partner Experience supporting Enterprise or upmarket customers with complex, multi-account or multi-brand data needs 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: $136,000 — $204,000 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. 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 ourGuidelines for using AI in the Klaviyo interview Process . For more information about how we process your personal data, see ourJob 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. 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