Product Manager, AI Governance & Compliance
Hybrid (San Francisco, CA)$125k - $165kFull-timePosted 2w ago
About the role
Product Manager focused on AI governance, compliance and policy workflows for enterprise AI applications, translating regulations into guardrails and leading engagements with risk, legal and privacy teams.
Responsibilities
- Own the roadmap for legal, risk and compliance workflows against defined customer problems and success metrics.
- Map each customer's stakeholders: the economic buyer, the legal, risk and compliance teams whose input is needed, and the approvers. Secure those teams' participation through the buyer.
- Design and run engagement models with customers, such as responsibility assignments and review cadences, and turn what works into product.
- Lead engagements with model risk, compliance, legal and privacy teams, and present to senior risk and legal stakeholders.
- Translate regulatory requirements and customers' internal policies into product requirements, working with engineering and research.
- Work with the DynamoEval and DynamoGuard PMs on shared policies, evaluation evidence and reporting.
- Track AI regulation and supervisory guidance, and assess what each change means for customers and the roadmap.
Qualifications
- 2 to 4 years of product management experience in GRC, regtech, legal tech, risk management or enterprise workflow software.
- Experience working directly with legal, risk, compliance or audit teams at large enterprises, and an understanding of their mandates, incentives and how they make and document decisions.
- A track record of bringing a team into a new process or responsibility it did not previously own, in an organization where that team did not report to you or to the project sponsor.
- Understanding of enterprise decision-making: how budget holders, reviewers and approvers differ, and how to secure time and sign-off from teams outside the buying organization.
- Working knowledge of how regulated enterprises govern models and AI, including model risk management practices such as SR 11-7 and frameworks such as the EU AI Act, NIST AI RMF and ISO/IEC 42001.
- Enough technical understanding of LLMs, evaluations and guardrails to discuss precision, recall and false positive tradeoffs with engineers and explain them to non-technical reviewers.
- Strong writing and presentation skills, with experience producing documents that hold up to review by legal and risk teams.
- Willingness to spend 4 to 6 weeks per year at customer sites, and more during large contract engagements.
Skills
Required:GRC / RegTech / Legal Tech product managementEnterprise stakeholder management
Last updated Oct 7, 2026. Interested? Apply on the company site.
About Dynamo AI
Compliant-Ready AI for the Enterprise
End-to-end privacy, security, and compliance solutions to prepare your organization for emerging AI regulations.
machine-learningprivacydata-engineering
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