Product Manager, AI Solutions
About The Position
Credo AI is hiring a Product Manager for its AI Solutions. The role sits within the AI Governance Research team, which turns frontier AI research into product. The Product Manager will own the roadmap for AI solutions and take them from research prototypes to platform capabilities customers pay for. These include an AI governance assistant for intake and risk mapping, a governance knowledge graph and regulatory intelligence, AI vendor and third-party risk capabilities, and evaluations that establish whether AI features work. The role partners closely with AI researchers and engineers to keep development focused on customer problems and ensure solutions ship, sell, and get used. This is a hands-on product role: the Product Manager will prompt, test, and stress-test AI features; write evaluation criteria and review sample outputs; and build quick prototypes with AI coding tools before committing engineering resources. The position is remote on a fully distributed team, with in-person coworking and company-wide offsites. The preferred location is San Francisco, California.
Requirements
- At least 4 years of product management experience.
- Experience shipping at least one LLM-powered feature to production.
- Practical understanding of how LLM products work, including prompting, retrieval, agents, evaluations, and failure modes.
- Experience turning research or prototypes into products customers pay for.
- Clear, concise writing, with the ability to explain model limitations to executives and engineers.
- Comfort owning outcomes with a small team in a startup environment.
Nice To Haves
- Background in AI governance, risk, compliance, or policy, including the EU AI Act, NIST AI RMF, or ISO 42001.
- Experience with knowledge graphs, regulatory content, or enterprise search.
- Experience with vendor or third-party risk management.
- Experience at a Series A–C company navigating ambiguity and resource constraints.
Responsibilities
- Own the roadmap for AI solutions, setting clear monthly and quarterly outcomes.
- Own product metrics for AI solutions, including assistant activation, completion rate, recommendation acceptance, time saved, AI quality and evaluation pass rates, and feature retention.
- Take prototypes through defined stages to platform capability: validated, beta, and generally available.
- Ship AI-powered governance intake that fills in assessments, asks follow-up questions, and assigns risk tiers based on a user's AI use case.
- Turn the knowledge graph into actionable customer recommendations about applicable controls, relevant regulations, and next steps.
- Define AI quality measurement, including evaluations, acceptance thresholds, and criteria for determining when a feature is ready to ship.
- Partner with Sales, Marketing, and Customer Success on packaging, pricing, positioning, and launch.
- Talk to customers every month and incorporate their language into the roadmap.
- Prompt, test, and break AI features before customers use them.
- Write evaluation criteria and review sample outputs.
- Build quick prototypes with AI coding tools to test ideas before engineering time is spent.
Benefits
- Competitive salary and equity.
- Health, dental, and vision coverage.
- Ergonomic benefit to cover equipment costs for working healthily at home or in the office.
- Coverage for coworking spaces and in-person meetups.
- Unlimited paid time off.
- Up to 12 weeks of paid parental leave.
- 401(k) plan for US employees.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
