VP, Product Analytics

📋 Description

• Set the vision, priorities, operating model, and quality standards for Product Analytics.
• Hire, coach, and develop a high-performing team.
• Review analytical and data-engineering PRs, providing guidance on SQL, data models, pipelines
• Represent Product Analytics in executive and product decision-making.
• Allocate team capacity toward the company’s highest-impact opportunities.
• Design how analytics work moves from business questions to trusted decisions across intake, data

🎯 Requirements

• Strong hands-on technical judgment, advanced SQL, and experience with modern data platforms such as
• Demonstrated experience using AI to redesign analytics operations—not merely improve individual
• Ability to design and implement AI-enabled workflows, reusable agents or tools, validation
• Experience owning a product analytics platform; deep Amplitude experience is strongly preferred.
• Strong knowledge of experimentation, causal inference, product measurement, and diagnostic analysis.
• Ability to turn ambiguous business questions into rigorous analysis and clear decisions.

🎁 Benefits

• What Success Looks Like: Leadership operates from trusted, consistent product and business metrics.
• The Product Analytics team has clear priorities, strong technical standards, and consistently
• AI-enabled workflows materially improve analytical speed, quality, and capacity.
• Product teams use experimentation and evidence as standard parts of development.
• Amplitude instrumentation and taxonomy are reliable, governed, and useful.
• Major product launches have clear success criteria and rigorous post-release evaluation.