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 - defined event tracking/taxonomy and driven it into a product 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 - consume governed sources and help raise the bar