Product Analytics Engineer

You will own product analytics from event design through recommendations. You will build instrumentation, pipelines, dashboards, monitoring, and experiments; analyze user behavior and product metrics; investigate anomalies; and turn quantitative and qualitative feedback into prioritized product improvements.

Responsibilities

• Own product analytics from event design and instrumentation through data modeling, analysis, and recommendations
• Define and maintain event taxonomy and a shared metrics layer
• Implement analytics instrumentation across client applications, backend services, and integrations
• Build data pipelines, transformations, dashboards, monitoring, and alerting systems
• Analyze funnels, cohorts, retention, behavioral paths, churn, and user segments
• Design and evaluate product experiments
• Translate data and feedback into prioritized product improvements
• Establish analytics instrumentation, documentation, data-quality, and privacy-conscious telemetry practices

Requirements

• 5+ years of Product Analytics, Analytics Engineering, Data Engineering, or similar experience
• SQL expertise
• Python proficiency
• TypeScript, JavaScript, or similar production application codebase experience
• Analytics instrumentation experience
• PostHog, Amplitude, Mixpanel, data warehouse, and BI tool experience
• Product metrics, experimentation, and funnel analysis knowledge
• AI-assisted development and analysis experience
• AI product, LLM application, AI agent, or developer tool experience
• Agent workflow, tool calling, model routing, or memory system familiarity
• Subscription or usage-based SaaS analytics experience
• Privacy-conscious telemetry experience