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Credo.AI

AI governance platform ensuring regulatory compliance

Technical Product Manager - Governance of AI Agents

Technical Product ManagementUpdated on Nov 10
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years in technical roles, including at least 2 years of product management.
  • Deep experience with AI agents and coding agents such as Claude Code, Cursor, Codex, or similar, including configuration of settings, hooks, permissions, and MCP servers.
  • Comfort navigating API documentation and building understanding through small prototypes.
  • Working knowledge of identity and access management, including OAuth, OIDC, and SCIM, and of at least one major cloud platform, AWS or Azure.
  • Experience shipping enterprise software in customer environments, including meeting requirements for single sign-on, device management such as 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 findings into product.
  • Ability to write clearly and concisely and explain technical trade-offs to engineers, customer security leaders, and governance leads.
  • Comfort owning outcomes with a small team in a startup environment.

Responsibilities

  • Shape and drive the agent governance roadmap 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, and work with engineering to define requirements for translating governance policies into operational controls.
  • Work 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 to 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.
  • Use and configure the product in test and design-partner environments to understand the customer experience firsthand.
  • Work through traces, logs, and configuration with engineering to understand issues and translate findings into product requirements or customer guidance.
  • Work directly with customers’ IT, security, and platform teams during rollout, and develop the rollout playbook with engineering and Customer Success.
  • Build prototypes, mockups, or lightweight scripts to explore and communicate ideas where useful, partnering with engineering on technical feasibility and final implementation.

Desired Qualifications

  • 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, such as policy-to-code systems.
  • Experience with security tooling or agent security, including SIEM, CASB, DLP, or endpoint management.
  • Experience with telemetry and observability, including OpenTelemetry.
  • A background in AI governance, risk, or compliance, including the EU AI Act, NIST AI RMF, or 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.

About the Company

Credo.AI

AI governance platform ensuring regulatory compliance

Credo AI provides an AI governance platform for enterprises to manage and govern their AI projects with compliance in mind. The platform helps businesses gain visibility into ungoverned models, evaluate AI risk and business impact, and ensure alignment with standards like NIST AI RMF, ISO, and the EU AI Act. It supports seamless oversight, collaboration, and attestation workflows and simplifies the procurement of third-party AI systems. This makes it easier for organizations to monitor AI systems, enforce governance processes, and manage AI-related risk. Credo AI differentiates itself by focusing specifically on governance and regulatory compliance across AI programs, backed by recognition as a 2022 World Economic Forum Technology Pioneer. The company’s goal is to help businesses deploy trustworthy AI, protect their brand from reputational risk, and future-proof their operations by effectively mitigating AI risk.

Company size
51-200
Company stage
Late Stage VC
Total funding
$39.3M
Headquarters
Palo Alto, CA
Founded
2020

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