Senior Product Manager

Product Manager, AI

Location: San Francisco or Seattle | Hybrid, 3 days per week in office

About the Opportunity

Our client, a Series B enterprise B2B SaaS company, is hiring a Product Manager to build and launch its AI product layer. This is a 0-to-1 opportunity to define how AI supports enterprise customers’ workflows, from identifying unmet needs to delivering production-ready capabilities.

The role owns product strategy, roadmap, prioritization, and execution, partnering closely with engineering, design, and go-to-market teams. Our client is looking for someone who combines technical AI fluency with strong customer discovery and commercialization skills, and who has shipped AI-powered products used by real customers.

Responsibilities

• Own the strategy and roadmap for the AI product layer, identifying opportunities that deliver meaningful customer value and business impact.
• Lead customer discovery to understand enterprise workflows, validate pain points, and prioritize the right problems to solve.
• Take AI-powered capabilities from concept and prototype through production launch, adoption, and iteration.
• Partner with engineering on technical approaches involving LLMs, agents, retrieval-augmented generation (RAG), and evaluation frameworks.
• Define requirements and success metrics, balancing AI quality, reliability, latency, cost, and user experience.
• Make prioritization decisions based on customer needs, technical feasibility, and commercial potential.
• Partner with sales, marketing, and customer success on customer pilots, positioning, launch strategy, and commercialization.
• Use customer feedback and product performance data to improve adoption, workflow impact, and business outcomes.
• Help establish enterprise-ready AI experiences with appropriate controls, transparency, and human oversight.

Requirements

• 5+ years of product management experience in enterprise B2B SaaS.
• 2+ years delivering production AI or data products, including hands-on ownership of AI-powered functionality used by real customers.
• Demonstrated ownership of product strategy, roadmap, prioritization, and execution.
• Experience taking a new product or major capability from discovery through launch and customer adoption.
• Working knowledge of LLMs, agents, RAG, evaluation frameworks, and AI reliability, with the technical fluency to discuss tradeoffs with engineering.
• Experience supporting commercialization through demand validation, product positioning, customer pilots, and go-to-market collaboration.
• Availability to work in the San Francisco or Seattle office three days per week.