The opportunity
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…
What you'll do
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
What they're looking for
- 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
