Senior Data Product Manager

Harnham; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Harnham partners with a connected vehicle intelligence leader to drive analytics for fleet operators, rental companies, dealerships, and lenders. The Senior Data Product Manager will own strategy, delivery, adoption, and commercial growth of data and analytics products behind an AI layer in development.

Responsibilities include defining the data product roadmap, turning telemetry into usable data products, engaging customers across automotive and enterprise markets, and guiding products from

Qualifications

• 5+ years in enterprise B2B product management.
• At least 2 years bringing data or AI products into production with real customer usage.

Responsibilities

• 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

Skills

Enterprise B2B product management

Data/AI product deployment

Job description

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

  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