Senior Product Manager, AI Analytics

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The AI & Analytics pillar powers how Klaviyos 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.

Were looking for a Senior Product Manager to own Klaviyos 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: Klaviyos 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 Klaviyos 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 Klaviyos entire agentic product suite the Analytics SKU and the Enterprise customer base.

• 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 cant reach) Foundation (agent-as-a-tool architecture for Composers 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 Composers charting infrastructure Core Reporting and Analytics AI; ship a coherent NLI-driven visualization and dashboard creation experience
• Own the PM-side of Klaviyos 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 doesnt 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

• You have 35 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 youve 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
• Youre 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 youve 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
• Youre 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

• 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