Senior AI Product Manager

Senior Product Manager, AI San Francisco, CA (Hybrid)$200-250k base + EquityWe'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 RoleSet the vision, roadmap, priorities, and milestones for the AI product portfolioLead the development of LLM-driven insight engines, multi-step agent workflows, and interfaces for developersEngage directly with customers in fleet management, rental, lending, and adjacent enterprise markets to uncover their needsDecide which AI opportunities to pursue based on customer value, technical feasibility, and business impactConvert customer insights into well-defined requirements and technical specificationsTake responsibility for AI evaluation, guardrails, reliability standards, and launch readinessRun customer pilots and guide products from early prototype to full productionDefine how success is measured, covering usage, engagement, performance, and customer resultsDevelop the pricing and go-to-market model for AI-powered featuresLead product launches and continuously improve based on customer input and usage dataWork hand in hand with Engineering, Data Science, Design, Sales, and Customer SuccessAbout YouAt least 5 years in enterprise B2B product managementAt least 2 years bringing AI or data products into production with real customer usageA track record of owning strategy, roadmap, prioritization, and deliveryPractical understanding of LLMs, agents, RAG, evaluation frameworks, and AI reliabilitySkill at turning technical AI capabilities into workflows that enterprises actually useExperience leading customer discovery, managing stakeholders, and delivering across teamsComfort owning product analytics and defining success metricsBased in, or able to work hybrid from, San Francisco or SeattleOpen to domestic and international travel, including trips to IndiaBonus PointsYou’ve built an AI product from scratch and grown its adoptionYou’ve worked on enterprise analytics, data platforms, workflow automation, or developer toolsYou have hands-on exposure to agentic AI, LLM orchestration, model evaluation, or AI governanceYou’ve priced and commercialized enterprise productsYou’ve worked in automotive, mobility, fleet, logistics, IoT, or connected devicesYou’ve thrived in a startup or growth-stage environmentInterested?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.