Job description

Senior Data Product Manager San Francisco, CA (Hybrid) $200-250k base + Equity We're partnering with a connected vehicle intelligence company that has direct integrations with more than 25 automotive OEM brands. Their platform turns raw vehicle data into analytics and actionable insights for fleet operators, rental companies, dealerships, and lenders. Data sits at the heart of everything they do, including a new AI product layer now in development. They're now hiring a Senior Data Product Manager to lead the strategy, delivery, adoption, and commercial growth of the data and analytics products behind it. The Role • Set the vision, roadmap, priorities, and milestones for the data and analytics product portfolio • Define how vehicle telemetry is turned into reliable, easy-to-use data products, including insights, datasets, APIs, and developer interfaces • Engage directly with customers in fleet management, rental, lending, and adjacent enterprise markets to uncover their needs • Decide which data and analytics opportunities to pursue based on customer value, feasibility, and business impact • Convert customer insights into well-defined requirements and technical specifications • Set and uphold standards for data quality, reliability, and launch readiness • Collaborate on the data foundation that powers LLM-driven insights and agent workflows • Run customer pilots and guide products from early prototype to full production • Define how success is measured, covering usage, engagement, performance, and customer results • Develop the packaging, pricing, and go-to-market model for data products • Lead product launches and continuously improve based on customer input and usage data • Work hand in hand with Engineering, Data Science, Design, Sales, and Customer Success About You • At least 5 years in enterprise B2B product management • At least 2 years bringing data or AI products into production with real customer usage • A track record of owning strategy, roadmap, prioritization, and delivery • Solid grasp of data platforms, pipelines, APIs, and analytics products • Practical understanding of how data foundations enable AI, including LLMs, RAG, and evaluation • Skill at turning complex data capabilities into workflows that enterprises actually use • Experience leading customer discovery, managing stakeholders, and delivering across teams • Comfort owning product analytics and defining success metrics • Based in, or able to work hybrid from, San Francisco or Seattle • Open to domestic and international travel, including trips to India Bonus Points • You've built a data product from scratch and grown its adoption • You've worked on enterprise analytics, data platforms, workflow automation, or developer tools • You have experience with data governance, data monetization, or AI-ready data infrastructure • You've priced and commercialized enterprise products • You've worked in automotive, mobility, fleet, logistics, IoT, or connected devices • You've thrived in a startup or growth-stage environment Interested? If you've built data products that enterprise customers rely on and want to shape the foundation for the next wave of AI, apply here or message me directly for a confidential conversation. I'm happy to share more about the company and team once we connect.

Requirements

Must-haves

Senior Data Product Manager
San Francisco, CA (Hybrid)
$200-250k base + Equity
Set the vision, roadmap, priorities, and milestones for the data and analytics product portfolio
Define how vehicle telemetry is turned into reliable, easy-to-use data products, including insights, datasets, APIs, and developer interfaces
Engage directly with customers in fleet management, rental, lending, and adjacent enterprise markets to uncover their needs
Decide which data and analytics opportunities to pursue based on customer value, feasibility, and business impact
Convert customer insights into well-defined requirements and technical specifications
Set and uphold standards for data quality, reliability, and launch readiness
Collaborate on the data foundation that powers LLM-driven insights and agent workflows
Run customer pilots and guide products from early prototype to full production
Define how success is measured, covering usage, engagement, performance, and customer results
Develop the packaging, pricing, and go-to-market model for data products
Lead product launches and continuously improve based on customer input and usage data
Work hand in hand with Engineering, Data Science, Design, Sales, and Customer Success
At least 5 years in enterprise B2B product management
At least 2 years bringing data or AI products into production with real customer usage
A track record of owning strategy, roadmap, prioritization, and delivery

Nice-to-haves

You've built a data product from scratch and grown its adoption
You've worked on enterprise analytics, data platforms, workflow automation, or developer tools
You have experience with data governance, data monetization, or AI-ready data infrastructure
You've priced and commercialized enterprise products
You've worked in automotive, mobility, fleet, logistics, IoT, or connected devices
You've thrived in a startup or growth-stage environment

Application prep

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aillmgo

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