Staff Product Analyst
$150,000–$195,000 year
On-siteMountain View Santa Clara County, California, United States
Job Summary
Own the analytical strategy for autonomy and commercial performance by defining metric frameworks, measurement systems, and insight cadences that drive product decisions across the organization. Act as a thought partner to VP-level Product and Engineering leaders to proactively surface trends, risks, and opportunities before they become blockers. Lead the design and governance of experimentation programs, including A/B tests and staged rollouts, while establishing methodology standards adopted across teams. Drive company-level understanding of commercial deployment performance by translating complex system behavior into strategic narratives for executives and the board. Architect scalable data solutions by owning the analytical layer of key data pipelines, instrumentation strategies, and dashboard infrastructure. Identify and close critical measurement gaps by partnering with Engineering to define telemetry requirements for new features before they ship. Mentor senior analysts and set the technical bar for the team. Represent the Product Analytics team in cross-functional leadership forums to advocate for data-driven decision-making. Travel periodically to commercial deployment locations to build operational intuition.
Required Qualifications
- 8+ years of product analytics experience in high-growth tech
- Track record of independently driving strategy
- Expert-level SQL
- Expert-level Python
- Experience architecting analytics systems and pipelines
- Proficiency with Kibana
- Comfort owning the instrumentation strategy end-to-end
- Experience growing senior ICs
- Experience establishing team norms, standards, and best practices
- Proven ability to distill ambiguous, multi-dimensional data into clear, compelling narratives for VP- and C-suite audiences
- Track record of driving alignment across Product, Engineering, and Operations at the program level
- Deep intuition for connecting technical metrics to fleet economics, customer outcomes, and competitive positioning
- Ability to decompose novel, high-stakes problems into rigorous analytical frameworks
- Degree in data analytics, data science, statistics, or equivalent
Desired Qualifications
- Advanced degree
- Background in autonomous systems
- Background in logistics
- Background in mobility
- Background in safety-critical industries
- Genuine drive to become a domain expert in AV commercialization
- Domain expertise or strong curiosity
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.