VP, Product Analytics & AI-Driven Insights

Lever, Inc.

San Francisco (CA)

Hybrid

USD 130,000 - 200,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
401(k) plan with employer match
Health, dental, vision insurance
Flexible hybrid setup
Career mobility program

Job summary

Crypto.com is seeking a hands-on VP of Product Analytics to lead our analytics organization and build an AI-native analytics operating system across crypto, stocks, and other markets. You will set the strategy, grow the team, and ensure data shapes product and business decisions, operating as a player-coach at executive level.

You will own product and business reporting, experimentation, release measurement, and the Amplitude data stack, building reusable AI tools and establishing governance for

Qualifications

  • Proven experience leading Product Analytics teams in a complex, fast-moving organization.
  • Strong hands-on technical judgment with SQL and data platforms.
  • Experience using AI to redesign analytics operations, not just improve individual productivity.

Responsibilities

  • Lead the Product Analytics team and set the analytics strategy at executive level.
  • Own the Amplitude data stack, governance, and instrumentation standards.
  • Build AI-enabled analytics workflows to improve speed, quality, and capacity.
  • Partner with Product, Engineering, Data, CRM, Growth, and other functions to align definitions and decisions.

Skills

Advanced SQL
Databricks
Amplitude
AI-enabled workflows
Executive leadership

Tools

Databricks platform
Amplitude platform

Job description

Crypto.com is seeking a hands-on VP of Product Analytics to lead our analytics organization and build an AI-native analytics operating system across crypto, stocks, and other markets. You will set the strategy, grow the team, and ensure data shapes product and business decisions, operating as a player-coach at executive level.

You will own product and business reporting, experimentation, release measurement, and the Amplitude data stack, building reusable AI tools and establishing governance for

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