Harnham
Senior Product Manager
Seattle, Washington, US
Role snapshot
Harnham is hiring a Senior Product Manager on a full-time basis. This is a hybrid role based in Seattle, Washington, US.
- Company
- Harnham
- Location
- Seattle, Washington, US
- Work mode
- Hybrid
- Job type
- Full-time
- Experience
- 5+ years
- Posted
- Oct 30, 2026
Who this role suits
Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.
How to prepare your application
- Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
- Be ready to discuss trade-offs and scope, not only the tools you have used.
- Read what Harnham publishes about its product or team, so you can say clearly why this role and this company.
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About the role
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.