Senior AI Product Manager

Harnham; San Francisco (CA); Hybride; USD 180 000 - 240 000; Plein temps

Résumé du poste

Harnham is seeking a Senior AI Product Manager to own an end-to-end AI product portfolio, from problem discovery to production launch and revenue impact.

You will lead LLM-driven insights, agent workflows, and developer interfaces, engaging with customers in enterprise markets to shape the roadmap and pricing strategy.

Qualifications

• 5+ years in enterprise B2B product management.
• 2+ years bringing AI or data products into production with real customer usage.
• Track record of owning strategy, roadmap, prioritization, and delivery.
• Practical understanding of LLMs, agents, RAG, evaluation frameworks, and AI reliability.

Responsabilités

• 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 with customers in fleet management, rental, lending, and adjacent markets to uncover needs.
• Decide which AI opportunities to pursue based on customer value and feasibility.
• Convert customer insights into well-defined requirements and technical specs.
• Run customer pilots and guide products from prototype to production.

Connaissances

Enterprise PM

AI products

Roadmap strategy

Stakeholder mgmt

GTM & pricing

Description du poste

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