Job description

Senior Product Manager, AI 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. Building on that data and analytics foundation, my client is investing in a new AI product layer and is hiring a Senior AI Product Manager to own it end to end, from understanding customer problems and setting direction through to production launch, customer adoption, and revenue. The Role • Set the vision, roadmap, priorities, and milestones for the AI product portfolio • Lead the development of LLM-driven insight engines, multi-step agent workflows, and interfaces for developers • Engage directly with customers in fleet management, rental, lending, and adjacent enterprise markets to uncover their needs • Decide which AI opportunities to pursue based on customer value, technical feasibility, and business impact • Convert customer insights into well-defined requirements and technical specifications • Take responsibility for AI evaluation, guardrails, reliability standards, and launch readiness • 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 pricing and go-to-market model for AI-powered features • 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 AI or data products into production with real customer usage • A track record of owning strategy, roadmap, prioritization, and delivery • Practical understanding of LLMs, agents, RAG, evaluation frameworks, and AI reliability • Skill at turning technical AI 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 an AI product from scratch and grown its adoption • You've worked on enterprise analytics, data platforms, workflow automation, or developer tools • You have hands-on exposure to agentic AI, LLM orchestration, model evaluation, or AI governance • 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 launched AI products that enterprise customers depend on and want to own one from the first customer conversation all the way to revenue, 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 Product Manager, AI
San Francisco, CA (Hybrid)
$200-250k base + Equity
Set the vision, roadmap, priorities, and milestones for the AI product portfolio
Lead the development of LLM-driven insight engines, multi-step agent workflows, and interfaces for developers
Engage directly with customers in fleet management, rental, lending, and adjacent enterprise markets to uncover their needs
Decide which AI opportunities to pursue based on customer value, technical feasibility, and business impact
Convert customer insights into well-defined requirements and technical specifications
Take responsibility for AI evaluation, guardrails, reliability standards, and launch readiness
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 pricing and go-to-market model for AI-powered features
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 AI or data products into production with real customer usage
A track record of owning strategy, roadmap, prioritization, and delivery
Practical understanding of LLMs, agents, RAG, evaluation frameworks, and AI reliability

Nice-to-haves

You've built an AI product from scratch and grown its adoption
You've worked on enterprise analytics, data platforms, workflow automation, or developer tools
You have hands-on exposure to agentic AI, LLM orchestration, model evaluation, or AI governance
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

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