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

AI agents now do real work inside companies: they write code, call tools and act on data. Our customers need to know which agents they have, set the rules each one must follow, make sure those rules hold where the agent runs, and prove it to auditors. That is our Agent Governance product area, and it is one of the company's biggest bets for 2027.

You'll be its technical product manager. You'll own the roadmap for AI Agents, which turns an organization's agent policy into configuration for the tools that enforce it (agent harnesses such as Claude Code, identity providers, agent platforms and gateways) and checks that the rules held. You'll also own agent discovery, which finds agents nobody registered, from security logs and deployment platforms, and brings them into governance.

This role is as much about deployment as roadmap. You'll take the product into design partner and early customer environments yourself: scope the rollout, install and configure it with the customer's IT, security and platform teams, and get it running and proving value. Then you'll bring what you learned back into the product, so the next deployment takes days, not weeks. You'll work with a small team of senior engineers who build agentic systems every day, and with the partners and systems integrators who deploy alongside us.

What You'll Do

• Own the Agent Governance roadmap across discovery, registration, policy, enforcement configuration and proof, with clear monthly and quarterly outcomes.
• Own product metrics for the area, including the share of known agents with an owner and conditions set, time from an agent being found to being governed, the share of conditions with a working enforcement route, the share of checked events where conditions held, deployment time-to-value and paid commitments.
• Define how policy becomes enforcement: which conditions map to which controls on each platform (agent harness settings and hooks, identity and access policies, agent platform permissions, gateway rules), and choose the next platforms to support.
• Lead design partner and early customer deployments end to end: technical scoping, security and data-handling reviews, installation, configuration, rollout across teams, and success criteria.
• Build the deployment playbook: runbooks, reference architectures, installation packages and troubleshooting guides that let partners and systems integrators deploy without us.
• Own evaluation: the scenarios that prove each configuration blocks what it should without blocking legitimate work, and the bar for shipping.
• Bring agent discovery and Agent Governor into one flow, so a found agent is matched, registered, put under policy and monitored.
• Work with technology partners on APIs, integrations and joint deployments, and track emerging agent standards such as MCP, A2A agent cards and AuthZEN.
• Partner with Sales, Customer Success and Marketing on demos, packaging, pricing and launch, and join customer calls where technical depth decides the deal.

What Hands-On Means Here

• You install the product in a test environment and configure an agent harness yourself before a customer sees it.
• You read agent traces, logs and configuration files to find out why a rule failed, then write it up for engineering.
• You sit with a customer's IT and security teams during rollout, and you own the runbook.
• You build quick prototypes and scripts with AI coding tools to test an idea before engineering time is spent.

What We're Looking For

Required:

• 5+ years in technical roles, including at least 2 years of product management. A background as a software engineer, solutions architect, or sales or forward-deployed engineer is a strong plus.
• Hands-on experience with AI agents and coding agents (Claude Code, Cursor, Codex or similar), including how they are configured: settings, hooks, permissions and MCP servers.
• Able to read and write code (Python or TypeScript), and comfortable with APIs, JSON and YAML configuration, and the command line.
• 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 deploying enterprise software in customer environments: 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:

• Experience with policy-as-code or authorization systems (OPA/Rego, Cedar or similar).
• Experience with security tooling or agent security (SIEM, CASB, DLP, endpoint management).
• Experience with telemetry and observability (OpenTelemetry, tracing).
• 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 $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)