Staff Product Manager - AI Detection & Discovery
About this role
Enterprises struggle to govern artificial intelligence because unmonitored models, cloud endpoints, and self-hosted tools often appear across networks without documentation or IT approval. OneTrust seeks a Staff Product Manager to lead the Detection product area, establishing a foundational discovery layer that finds shadow AI assets and turns them into a unified, governable inventory. This role exists because every downstream compliance obligation, risk assessment, and policy control depends entirely on the completeness and accuracy of the discovered asset data.
The incoming product leader will own the comprehensive detection strategy, balancing coverage roadmaps across managed model services, custom pipelines, and vendor features while leading geographically distributed engineering, design, and data science teams through ambiguous problems. Candidates who succeed here possess deep technical knowledge of AI deployment mechanics, excel at making hard tradeoffs regarding precision and recall, and can translate emerging regulatory frameworks into concrete product requirements.
What you will do
- Own the product strategy and coverage roadmap for the Detection area across multiple related products, balancing delivery schedules and build versus partner decisions.
- Define the Shadow AI detection strategy by discovering unsanctioned models and agents, attributing owners, risk-ranking assets, and routing them into remediation workflows.
- Lead geographically distributed engineering, design, data science, and detection research teams through ambiguous, discovery-heavy problem spaces.
- Partner closely with Security, IT, Legal, and design-partner customers to test detection signals against real-world enterprise adoption patterns.
- Serve as the primary subject matter expert on detection mechanics, advising internal stakeholders and communicating strategy clearly to executives.
- Translate requirements from the EU AI Act, NIST AI RMF, ISO/IEC 42001, and emerging state legislation into concrete product and inventory requirements.
What you need
- Hold a Bachelor's degree in Computer Science, Engineering, Business, or a related field.
- Bring 8 or more years of professional Product Management experience.
- Demonstrate proven success managing a product through its full lifecycle, including end-of-life planning.
- Have experience shipping discovery, inventory, or detection products in security, data discovery, asset management, CSPM/SSPM/CASB, observability, or a comparable domain.
- Possess working fluency with cloud platforms, AI services, on-premises infrastructure, and self-hosted inference stacks to contribute effectively in architecture reviews.
- Maintain experience with integration and connector-heavy products, including maintaining integrations as upstream APIs change.
- Show recent experience using Agile or Scrum methodology in a professional environment.
Nice to have
- Familiarity with AI governance frameworks and regulation, including the EU AI Act, NIST AI RMF, and ISO/IEC 42001
- Background in enterprise security or IT tooling, or experience selling to CISO and Chief Data or AI Officer buyers
- Experience with data-quality or ML-driven classification problems where precision and recall are negotiated with customers
- Exposure to agentic systems, MCP, or AI supply-chain risk
Benefits
- Comprehensive healthcare coverage
- Flexible PTO
- Equity RSUs
- Annual performance bonus opportunities
- Retirement account support
- 14+ weeks of paid parental leave
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
OneTrust embraces an office-first culture, encouraging three days a week in the office for most roles, with meaningful opportunities to collaborate and celebrate in person. Specific requirements or flexibility may vary depending on the scope of the position.
What is the salary range for the position?
The annual base pay range for eligible locations is $139,725 to $186,300 USD. Individual pay is determined by factors including location, job-related skills, work experience, and relevant education or training.
What tools and technologies will I work with?
The tech stack involves managed model services like Bedrock, Azure OpenAI, and Vertex AI, along with AI tools such as Claude, ChatGPT, and Notion AI used to accelerate research synthesis and roadmap analysis.