Credo AI
Technical Product Manager, Governance of AI Agents
USA Remote (Pacific Time Zone Preferred)
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hirly's read of this role
- Role family
- Product management
- Seniority
- Lead / management
- Stated salary
- $170,000 – $190,000 per year
- Country
- US
- Work mode
- Remote-friendly
- First seen by hirly
- 4 Nov 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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
While AI agents are now widely adopted, enterprise have struggled to scale their governance. Our customers need to know which agents they have, set rules for each one, make sure those rules hold where the agent runs, and prove it to auditors and regulators. That is the focus of our Agent Governance product area. You'll be its technical product manager. You'll help shape and drive the roadmap for agent governance, from agent discovery to policy operationalization to assurance.
You’ll work directly with design partners and early customers to understand their environments, define successful rollouts, and ensure the product delivers value. Working with engineering and the customer’s IT, security, and platform teams, you’ll identify and resolve adoption barriers and turn what you learn into product improvements. You’ll also work with partners and systems integrators to make deployment increasingly repeatable, and collaborate with our go-to-market team on marketing and sales enablement as the product matures.
What You'll Do
Shape and drive the agent governance roadmap in partnership with research, engineering, and product leadership, translating customer needs and company priorities into clear monthly and quarterly outcomes.
Define measures of product success and use customer feedback and product metrics to guide prioritization.
Identify and prioritize integrations and platforms based on customer needs and market opportunity. Work with engineering to define requirements for translating governance policies into operational controls.
Work directly with design partners and early customers to scope rollouts, define success criteria, and support adoption, including hands-on configuration where appropriate. Partner with engineering and customer teams on technical implementation and security and data-handling reviews.
Develop deployment playbooks with engineering, Customer Success, and partners, including reference architectures, runbooks, and troubleshooting guidance that make deployments repeatable.
Work with technology partners on integrations and joint deployments, and keep up with relevant agent, identity, and authorization standards.
Partner with Sales, Customer Success, and Marketing on customer conversations, demos, positioning, pricing, launch, and sales enablement as the product matures.
What Hands-On Means Here
You use and configure the product in test and design-partner environments so you understand the customer experience firsthand.
You can work through traces, logs, and configuration with engineering to understand an issue and translate what you learn into product requirements or customer guidance.
You work directly with customers’ IT, security, and platform teams during rollout, and develop the rollout playbook with engineering and Customer Success.
You build prototypes, mockups, or lightweight scripts to explore and communicate ideas where useful, partnering with engineering on technical feasibility and final implementation.
What We're Looking For
Required:
5+ years in technical roles, including at least 2 years of product management.
Deep experience with AI agents and coding agents (Claude Code, Cursor, Codex or similar), including how they are configured: settings, hooks, permissions and MCP servers.
Comfortable diving into API documentation and building understanding through small prototypes.
Working knowledge of identity and access management (OAuth, OIDC, SCIM; Okta or Microsoft Entra) and of at least one major cloud (AWS or Azure).
Experience shipping enterprise software in customer environments, including satisfying requirements around single sign-on, device management (Jamf or Intune), security reviews, and rollout across teams.
A track record of running technical pilots or proofs of concept with enterprise customers and turning what you learned into product.
Clear, concise writing. You can explain a technical trade-off to an engineer, a customer's security leader and a governance lead.
Comfort owning outcomes with a small team in a startup environment.
Preferred:
A background in software engineering, solutions architecture, sales engineering, or forward-deployed engineering
Familiarity with how organizations define and enforce access or usage policies across technical systems (e.g., policy-to-code systems).
Experience with security tooling or agent security (SIEM, CASB, DLP, endpoint management).
Experience with telemetry and observability (OpenTelemetry).
Background in AI governance, risk or compliance (EU AI Act, NIST AI RMF, ISO 42001).
Experience working with systems integrators or technology partners on joint deployments.
Experience at a Series A–C company navigating ambiguity and resource constraints.
Compensation
The expected base salary range for this position is $170,000-190,000 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)
Listed on hirly, a job board. hirly is not the employer: Credo AI is hiring for this role.
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