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VP, Product Analytics
Crypto.com. Set the vision, priorities, operating model, and quality standards for Product Analytics .
Posted 10/5/2026full-timeSan Francisco • California • United StatesLead💰 $130,000 - $200,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading Product Analytics teams, with a strong focus on AI-enabled workflows, advanced SQL, and ownership of analytics platforms like Amplitude. Capable of translating complex business questions into actionable insights through rigorous analysis and effective communication.
Highest-signal resume keywords
Advanced SQLAmplitude Data Stack ManagementAI-Enabled Workflow DesignProduct Analytics LeadershipExperimentation and Causal Inference
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ModelingData Pipeline DevelopmentMetric DefinitionAnalytical MethodologyDiagnostic AnalysisProduct MeasurementExperiment DesignCausal InterpretationKnowledge Management
Soft Skills
People LeadershipExecutive CommunicationStrong Product Judgment
Tools & Technologies
AmplitudeDatabricksAI ToolsAnalytics Operating System
Industry Keywords
Product AnalyticsConsumer FintechMarket LiquidityTrading Execution PerformanceTransaction-Heavy Products
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Set the vision, priorities, operating model, and quality standards for Product Analytics
- Hire, coach, and develop a high-performing Product Analytics team
- Review analytical and data-engineering PRs, including SQL, data models, pipelines, metric definitions, and methodology
- Represent Product Analytics in executive and product decision-making
- Allocate team capacity toward the company’s highest-impact opportunities
- Design an AI-native analytics operating system covering intake, data discovery, analysis, validation, reporting, and knowledge management
- Build reusable AI tools to automate repetitive workflows and improve delivery speed, quality, and consistency
- Establish governance, validation, and human review for high-stakes decisions
- Own trusted KPIs, source-of-truth metrics, dashboards, and executive business reviews
- Partner with Product, Engineering, Data, CRM, Growth, and other functions
- Establish experimentation standards for hypotheses, success metrics, guardrails, experiment design, causal interpretation, and rollout decisions
- Own the Amplitude data stack, including instrumentation strategy, event taxonomy, governance, data quality, and warehouse-reporting integration
- Set standards for product instrumentation, analytical models, and pipelines
- Lead diagnostic analyses of activation, conversion, retention, user behavior, market liquidity, trading execution performance, and product health
- Define measurement frameworks and success criteria for major product launches
- Oversee post-release evaluations and translate findings into product actions
Requirements
What you’ll need- Proven experience leading Product Analytics teams in a complex, fast-moving organization
- Strong hands-on technical judgment
- Advanced SQL
- Experience with modern data platforms such as Databricks
- Demonstrated experience using AI to redesign analytics operations
- Ability to design and implement AI-enabled workflows, reusable agents or tools, validation controls, and analytics knowledge systems
- Experience owning a product analytics platform; deep Amplitude experience 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
- Strong product judgment, people leadership, and executive communication skills
- Preferred: consumer fintech, trading, marketplaces, or other transaction-heavy products
- Preferred: exchange mechanics, market liquidity, and multi-asset products
- Preferred: leading company-wide adoption of new analytics technologies and ways of working
Benefits
Comp & perks- Competitive salary
- Attractive annual leave entitlement including birthday and work anniversary
- 401(k) plan with employer match
- Company-sponsored group health, dental, vision, and life/disability insurance
- Flexi-work hours and hybrid set-up
- Internal mobility program offering diverse career alternatives
- Growth and professional development opportunities
- Supportive and collaborative work culture