Product Manager, AI Solutions
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4h ago
The date the source published, not the day we noticed it (2026-11-03). Last seen at its source just now.
Is it remote?
USA Remote (Pacific Time Zone Preferred)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$160k–180k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen just now · last seen just now
The listing
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)