Principal Product Manager, AI Build Governance

Overview

Principal Product Manager to own the strategy, roadmap and packaging of OneTrust's developer-facing AI governance products, which sit within the AI development lifecycle.

What you'll do

• Define and own the product strategy, roadmap, and packaging for OneTrust's 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 so they carry into the build, and ensure 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 and Sales Engineering on positioning, launches, and the technical narrative.
• Own the outcomes: developer adoption, integration depth, and the revenue and retention these products influence.

What you'll need

• Bachelor's 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.

Nice to have

• 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.
• Familiarity with AI regulations and frameworks such as the EU AI Act, NIST AI RMF, and ISO 42001.
• Experience with design partner programs, early access programs, or developer relations.

Details

• Location: Bengaluru, India.
• Office-first culture: three days a week in office for most roles; specific requirements may vary by role and should be verified with the recruiter.