AI Governance Research Product Manager
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Job Description
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The Credo AI Governance Platform operates as the trust layer for global enterprises focused on transforming their organizations with AI. It is powered by a knowledge graph that is updated by agents, enriched with global regulatory intelligence and curated business context, supported by Forward-Deployed Experts, giving enterprises a clear view of the risk profile behind every AI system. By making that risk visible, we enable teams to move quickly and confidently scale across systems to adopt compliant AI, faster and in a compliant manner.
What You'll Do
Own the roadmap for our AI solutions, with clear monthly and quarterly outcomes.
Own product metrics for AI solutions, including assistant activation, completion rate, recommendation acceptance, time saved, AI quality/eval pass rates and feature retention.
Take prototypes through defined stages to platform capability: validated, beta, generally available.
Ship AI-powered governance intake: a user describes an AI use case, and the platform fills in the assessment, asks follow-up questions and assigns a risk tier.
Turn our knowledge graph into recommendations customers act on: which controls apply, which regulations matter, and what to do next.
Define how we measure AI quality: evals, acceptance thresholds, and when a feature is good enough to ship.
Partner with Sales, Marketing and Customer Success on packaging, pricing, positioning and launch.
Talk to customers every month and bring their language back into the roadmap.
What Hands-On Means Here
You prompt, test and break our AI features yourself before customers do.
You write eval criteria and review sample outputs, not just the PRD.
You build quick prototypes with AI coding tools to test an idea before engineering time is spent.
What We're Looking For
Required:
4+ years of product management experience, including shipping at least one LLM-powered feature to production.
Practical understanding of how LLM products work: prompting, retrieval, agents, evals and their failure modes.
Experience turning research or prototypes into products customers pay for.
Clear, concise writing. You can explain a model's limits to an executive and to an engineer.
Comfort owning outcomes with a small team in a startup environment.
Preferred:
Background in AI governance, risk, compliance or policy (EU AI Act, NIST AI RMF, 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.
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View Company ProfileCredo AI (operating at credo.ai) is an AI governance platform engineered for enterprises seeking to deploy artificial intelligence responsibly. Founded in 2020 by Navrina Singh and headquartered in Palo Alto, California, Credo AI specializes in automating oversight, risk management, and compliance for AI systems—addressing the growing challenge of unchecked AI adoption. Unlike traditional governance tools that rely on static checks, Credo AI pioneers *contextual, continuous, and comprehensive* AI governance, extending its capabilities to *Agent Governance*—a registry for every AI agent, purpose-built for monitoring dynamic, autonomous systems. Under the hood, the platform combines policy enforcement, real-time monitoring, and explainability tools to track AI behavior across models, agents, and workflows. This allows global enterprises to scale AI adoption while mitigating risks, proving compliance, and maintaining trust. Backed by $42.0 million across three funding rounds—including a $21.0 million Series B led by Sands Capital—Credo AI is positioned as the category-defining leader in responsible AI governance.
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