VP, Product Analytics

This crypto company is building products across digital assets, stocks, prediction markets, perpetuals, and stock futures. They need a VP of Product Analytics to lead the function at an executive level while staying deeply technical—someone who can build an AI-native analytics operating system and shape how the entire company makes data-driven decisions.

This is a hands-on leadership role based in Hong Kong, Singapore, or San Francisco (hybrid). You'll report at the executive level and work across Product Management and Product Design.

Your core responsibilities

Lead and grow the Product Analytics team from hiring and coaching to setting technical standards, reviewing SQL and data modeling work, and allocating capacity toward the highest-impact initiatives. You'll represent analytics in executive decision-making and own the quality bar across the function.

Design and implement an AI-native analytics operating system that automates repetitive work, encodes analytical standards, and improves speed and consistency of delivery. This includes establishing governance and validation controls for high-stakes decisions and measuring the system's impact on turnaround time and team capacity.

Own the Amplitude data stack end-to-end: instrumentation strategy, event taxonomy, governance, and data quality. Set standards for product instrumentation so major releases can be measured reliably, and ensure metrics remain traceable and reproducible as products evolve.

Build a culture of experimentation by establishing standards for hypotheses, success metrics, experiment design, and causal interpretation. Use AI and automation to streamline the full experiment workflow—from intake through validation and analysis—while maintaining rigor.

Establish trusted KPIs, source-of-truth metrics, and executive dashboards. Partner across Product, Engineering, Data, CRM, and Growth to align definitions and ensure reporting drives decisions, not just monitoring.

Lead diagnostic deep-dives into user activation, conversion, retention, trading performance, and market liquidity. Define measurement frameworks for major launches and oversee post-release evaluations that inform whether to iterate, scale, or stop.

What you'll bring

• Proven experience leading Product Analytics teams in complex, fast-moving organizations
• Advanced SQL skills and hands-on technical judgment with modern data platforms like Databricks
• Deep Amplitude experience; you've owned a product analytics platform before
• Demonstrated success using AI to redesign analytics operations at scale, not just improve individual productivity
• Strong expertise in experimentation, causal inference, product measurement, and diagnostic analysis
• Ability to design AI-enabled workflows, reusable agents and tools, validation controls, and analytics knowledge systems
• People leadership skills and the ability to communicate complex findings clearly to executives
• Product judgment and the ability to turn ambiguous questions into rigorous analysis

Nice to have

• Background in consumer fintech, trading platforms, marketplaces, or other transaction-heavy products
• Knowledge of exchange mechanics and multi-asset product experience
• Track record leading company-wide adoption of new analytics technologies and working models