Principal Product Manager, AI Build Governance

Job Summary


Your Mission

• Define and own the product strategy, roadmap, and packaging for OneTrusts developer-facing AI governance products
• Translate governance requirements into technical requirements, tests, and controls that developers can act on
• Own the developer experience end to end, including SDK design, APIs, documentation, samples, and CI/CD integration
• Set requirements earlier in the lifecycle carry into the build, and that signals from production carry back into future evaluations
• Work with design partners and early access customers to validate direction against real engineering teams
• Partner with Product Marketing, Sales Engineering, on positioning, launches, and the technical narrative
• Own the outcomes: developer adoption, integration depth, and the revenue and retention these products influence

You Are

• Builder You prototype. When a team is deciding on an API shape or an interaction, you open the tools and show them one. You are comfortable in a repo and an SDK.
• Developer empathy You have built products where the user was an engineer, and you know adoption is won on time-to-first-integration, documentation, and good defaults.
• Collaborator Most of what you own depends on work other teams are doing, and you spend as much time inside their plans as your own. You build alignment and confidence across other teams without having authority over them.
• Zero-to-one You have taken new products from nothing to real customers and real revenue, knowing full well what it takes.

Your Experience Includes

• Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 12+ years of product management experience in enterprise software, including end-to-end ownership of a technical product area
• Demonstrated success taking new products from concept to shipped, adopted, and generating revenue
• Strong working knowledge of the modern AI stack: LLMs and model providers, agents and tool calling, RAG pipelines, prompts, and their failure modes
• Familiarity with AI evaluation practice, including benchmarking, offline and online evaluation, red teaming, and safety testing
• Proven ability to partner deeply with Engineering, UX, Security, and Legal, and to earn technical credibility with senior engineers
• Exceptional communication skills with the ability to articulate vision, create alignment, and represent new products credibly
• Experience building developer tools or developer platforms SDKs, APIs, CLIs, IDE extensions, CI/CD integrations, or testing frameworks where engineers were your primary user
• Fluency using AI tools to build product: prototyping in code with coding agents, building your own evals, and shipping AI-assisted workflows
• Hands-on experience with AI security or safety controls such as guardrails, prompt injection defenses, content filtering, or output validation

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