Lead Product Analyst - AI Products

📋 Description

• Own instrumentation coverage for the AI pillar - define the events and properties each AI surface
• Define feature-level KPIs and success metrics for Voice AI, Conversation AI, AI Employee, and Ask
• Partner with the Experimentation & Causal Inference lead to design and read AI experiments
• Separate real signal from instrumentation gaps, novelty effects, and data maturity in every read
• Set the measurement direction and standards for the AI analytics domain - the canonical metrics and
• Translate findings into clear recommendations for AI PMs and influence the roadmap without owning it

🎯 Requirements

• 7+ years in product analytics, data science, or applied statistics, with hands-on ownership of a
• Strong instrumentation instinct - you've defined event tracking/taxonomy and driven it into a
• Ability to define success metrics for a product from a standing start and get stakeholders to adopt
• Fluency partnering on experiments (A/B design, guardrails) and interpreting results honestly
• Strong SQL and working proficiency in Python; comfort in a Snowflake + dbt environment
• Comfort working amid imperfect, in-progress data - you consume governed sources and help raise the