Principal Product Manager, AI Runtime Governance

Strength in Trust

OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.

Principal PM AI Governance - Runtime Governance

About OneTrust

OneTrust helps organizations operationalize trust through privacy, security, data governance, and responsible technology adoption. As AI governance becomes a board-level and regulatory priority, customers increasingly need structured ways to understand AI systems, assess risk, monitor behavior, and demonstrate compliance over time.

The Challenge

We are looking for a Principal PM to help shape the future of our AI Governance product with a specific focus on observability and enforcement across AI systems. This role is for a product manager who can connect strategy, execution, and technical depth to help us build the right platform capabilities for the next generation of governed AI.

You will help run squad activities and drive clarity across product, engineering, design, and go-to-market stakeholders to ensure we are building capabilities that are durable, differentiated, and ready for where AI governance is heading next. The ideal candidate brings a strong product mindset along with a background in cybersecurity, SIEM and AI/MLOps.

Your Mission

Own and drive product direction for core AI Governance capabilities related to observability, policy enforcement, controls, and signal-driven governance across AI systems.

You will help define how customers can:

Gain visibility into AI systems, models, agents, and their behaviors over time using SIEM solutions

Collect and operationalize governance signals across development, deployment, and runtime environments

Enforce policies to build responsible AI and secure-AI use cases

Investigate risk, drift, policy violations, and operational issues with confidence

Connect governance requirements to measurable controls, workflows, and evidence for compliance outcomes

What You’ll Do

Partner with engineering and design to run an effective squad cadence, maintain clarity on priorities, and turn ambiguous opportunities into actionable product direction

Define product requirements and roadmap themes for AI observability, enforcement, and governance workflows

Translate cybersecurity, platform, and AI/MLOps concepts into customer-facing product capabilities with special focus on SIEM and SOAR capabilities.

Identify the right future-facing platform investments to support governance for models, agents, prompts, evaluations, runtime signals, and policy controls

Work closely with internal and external stakeholders to understand market needs, technical constraints, and regulatory expectations

Drive decisions on what signals should be captured, how they should be normalized, and how they should power governance actions

Ensure product choices balance near-term customer value with long-term platform extensibility

Support launches, customer conversations, and strategic storytelling for this area of the portfolio

What Success Looks Like

The squad is operating with strong product clarity, execution discipline, and measurable outcomes

Customers can observe meaningful AI system behavior and governance signals in a way that supports action, not just reporting

Enforcement capabilities are practical, scalable, and aligned to real enterprise governance workflows

The product roadmap anticipates where AI governance is going, not just where the market is today

Cross-functional partners see this product area as strategically coherent, technically credible, and commercially important

You Are

A strong product manager who can operate comfortably in technical, ambiguous, and fast-moving domains

Fluent in cybersecurity concepts such as controls, risk signals, policy enforcement, monitoring, and incident-oriented thinking

Experienced in AI/MLOps ecosystems, with experience in building SIEM and SOAR solutions including model lifecycle considerations, evaluation signals, runtime monitoring, and production governance patterns

Comfortable leading through influence across engineering, design, GTM, and executive stakeholders

Structured in how you run product discovery, prioritization, and squad execution

Future-oriented and able to identify platform capabilities that will matter as AI systems become more agentic, distributed, and operationally complex

Clear and persuasive in written and verbal communication

Your Experience Includes

12+ years in product management, with meaningful experience in enterprise software or platform products

Direct experience in one or more of the following domains: log collection, inference generation, cybersecurity, AI/MLOps, , platform observability, or risk/compliance technology

Track record of shipping technical platform capabilities in partnership with engineering teams

Experience working with telemetry, monitoring, policy, controls, or enforcement-oriented systems

Ability to understand complex technical architectures and convert them into strong product decisions

Experience balancing customer needs, technical feasibility, and strategic platform thinking

Bachelor’s degree or equivalent practical experience

Extra Impressive

Experience with AI governance, model risk, or responsible AI programs.

Have built SIEM capabilities or product to drive meaningful signals.

Familiarity with enterprise AI stacks, agent frameworks, or evaluation/monitoring pipelines

Experience building products that connect governance requirements to operational systems and evidence

Background working in privacy, security, compliance, or trust-related software markets

Comfort engaging with strategic partners, large enterprise customers, and senior leadership on product direction

Where we Work

We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.

Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.

Benefits

As an employee at OneTrust , you will be part of the OneTeam . That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.

Resources

Check out the following to learn more about OneTrust and its people:

OneTrust Careers on YouTube

@LifeatOneTrust on Instagram

Your Data

You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview . You can change your mind at any time and have your personal data removed from our database. In order to do this you must conta