VP, Product Analytics
Core
Lead Product Analytics and build an AI-native analytics operating system for crypto, stocks, prediction markets, and futures products.
Role type
VP, Product Analytics (Player-coach)
Builds
AI-native analytics operating system, product reporting, experimentation infrastructure, and data quality systems
Domain
Fintech / Crypto / Trading / Data Analytics
Deliverable
production ML models
Required skills
Product Analytics leadership, Advanced SQL, Modern data platforms (Databricks), AI/ML for operations, Experimentation design, Causal inference, Product measurement, Diagnostic analysis, Team leadership
Preferred skills
Consumer fintech experience, Exchange mechanics, Multi-asset products, Company-wide technology adoption
Technologies
Amplitude, Databricks, SQL, AI/ML frameworks
Responsibilities
Set analytics strategy and operating model; Review PRs and guide data modeling/pipeline design; Own product/business reporting and KPIs; Build AI tools to automate workflows; Drive diagnostic deep-dives on user behavior and market liquidity; Establish experimentation standards and governance.
Seniority
VP, Executive level