Product Manager, AI Solutions

Credo.AI
United States
Remote

Who this role is best for

AI governance professionals with product management experience will find this role ideal, as it emphasizes turning research into customer-facing AI solutions within a remote-first startup environment.

Best fit for

  • Candidates with 4+ years of product management experience and a track record of shipping LLM-powered features.
    — “4+ years of product management experience, including shipping at least one LLM-powered feature to production.”
  • Individuals who can translate complex AI research into actionable product capabilities and customer value.
    — “turning frontier AI research into product.”
  • People who thrive in a small team startup setting and can own outcomes with minimal oversight.
    — “Comfort owning outcomes with a small team in a startup environment.”

Things to consider

  • The role demands a high level of autonomy and requires ownership of product metrics and outcomes.
    — “Own the roadmap for our AI solutions, with clear monthly and quarterly outcomes.”
  • Candidates must be prepared to engage in hands-on testing and evaluation of AI features.
    — “You prompt, test and break our AI features yourself before customers do.”

How to stand out

  • Highlight experience with AI governance frameworks like the EU AI Act or ISO 42001.
    — “Background in AI governance, risk, compliance or policy (EU AI Act, NIST AI RMF, ISO 42001).”
  • Demonstrate ability to work with AI researchers and engineers to align on customer problems.
    — “You'll work with AI researchers and engineers who move fast and have strong opinions.”
  • Showcase skills in defining AI quality metrics and evaluating AI outputs.
    — “Define how we measure AI quality: evals, acceptance thresholds, and when a feature is good enough to ship.”
  • Emphasize experience in building and validating prototypes with AI coding tools.
    — “build quick prototypes with AI coding tools to test an idea before engineering time is spent.”
  • Demonstrate ability to collaborate with cross-functional teams on product positioning and launch.
    — “Partner with Sales, Marketing and Customer Success on packaging, pricing, positioning and launch.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • owning the roadmap for AI solutions
  • product metrics for AI solutions
  • AI-powered governance intake
  • knowledge graph recommendations
Typical background
product managementAI governance

Skills & requirements

Required

Product ManagementAI GovernanceLlm-powered FeaturesAI Quality EvaluationCustomer Engagement

Preferred

AI GovernanceLlm-powered FeaturesAI Quality EvaluationCustomer Engagement

Stack & domain

LLMAI GovernanceRisk ManagementComplianceKnowledge GraphsRegulatory ContentEnterprise Search

About the role

Original posting from Credo.AI via Ashby

ABOUT CREDO AI 

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.

THE ROLE

Our AI Governance Research team turns frontier AI research into product. What it builds is what sets Credo AI apart: governance intelligence that tells a company which rules apply to each AI system and agent, and AI-native features that do the governance work for them.

You'll own the roadmap for these AI solutions and take each one from research prototype to a platform capability customers pay for. That includes our AI governance assistant for intake and risk mapping, our governance knowledge graph and regulatory intelligence, AI vendor and third-party risk, and the evaluations that prove our AI features work.

You'll work with AI researchers and engineers who move fast and have strong opinions. Your job is to keep them pointed at customer problems, and to make sure what they build ships, sells and gets used.

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.
  • Preferred location: San Francisco, CA

COMPENSATION

The expected base salary range for this position is $160,000-180,000 USD. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in the specified location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

LOCATION & REMOTE CULTURE

While this is a remote role and we're a fully distributed team, we routinely meet up in-person. We support individual members to coordinate in-person coworking whenever possible, and organize company-wide offsites multiple times a year. At Credo AI we value diversity, equity, and inclusion as core principles in our work environment, and the development of our product offerings, and we have implemented initiatives to foster and support these values.

Credo AI Benefits & Perks

  • Competitive Salary and Equity
  • Health: We offer health, dental, and vision coverage. We also offer an ergonomic benefit to cover the costs of equipment to help staff stay healthy while working, both in the office and at home.
  • Coworking: We will cover the cost of co-working spaces like WeWork and in-person meetups.
  • Unlimited PTO: Credo AI has unlimited time off to support our employees 
  • Generous Parental Leave: We offer up to 12 weeks of paid parental leave.
  • 401(k) plan for  employees (US only)

Source: Credo.AI careers (Ashby)

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