Vice President, AI Product Security

About the role

In this opportunity as Vice President, AI Product Security, you will:

• Partner directly with product and engineering teams to embed security across the full AI stack — including AI experiences, agents, agent harnesses, underlying models, and context sources such as MCP — rather than treating the model in isolation
• Set the technical bar for AI-specific risk and cybersecurity requirements, holding engineering roadmaps to it before launch, not after
• Serve as the security authority engineering teams come to for architecture and control decisions, resolving trade-offs without stalling delivery
• Build the paved-road patterns and repeatable review frameworks that let engineering ship new AI experiences and agents fast, inside a risk tolerance you define with the CISO
• Equip Customer Trust, Product and Go-to-Market teams to sell with security as a differentiator, not a caveat — explaining, with technical credibility, how Thomson Reuters builds secure, fiduciary-grade AI solutions centered on trust
• Stand in front of customer executives and security leaders as the technical voice behind how Thomson Reuters secures its AI, and defend that posture under scrutiny
• Assist in the build-out of trust artifacts, sales enablement materials, and security processes that meet customer requirements
• Support customers directly in solutioning, adopting, and implementing AI in line with their own risk management strategies
• Facilitate a technical relationship with the AI security engineering and architecture team, as well as AI red-team to leverage security reviews and adversarial-testing capabilities to evaluate the risk of models as well as MCP-connected tools against emerging threat patterns such as tool-privilege escalation, prompt injection, etc.
• Set requirements for evaluating and monitoring third-party and vendor-supplied models and AI services — provenance, ongoing risk assessment, and contractual security terms — applying the same rigor used for systems built in-house

Requirements

• 12+ years in cybersecurity or product security, including senior leadership inside complex, SaaS-based technology organizations
• Proven experience designing, developing, or securing AI solutions
• Business solution architecture experience: the ability to read a product's technical design and turn security risk into concrete engineering requirements
• A strong grasp of risk management, including how to identify and mitigate cybersecurity risk specific to AI models and capabilities
• Understand and be able to apply best practice frameworks such as MITRE Atlas, OWASP Top 10 for LLMs, NIST AI RMF and others
• Exceptional communication skills — able to translate deep technical concepts for non-technical buyers, procurement, and business leaders without diluting the substance
• Comfort operating in ambiguity, building structure where none exists yet
• A track record of driving decisions through influence, not authority — engaging senior leaders across technical and product organizations

Benefits

• Hybrid Work Model: Flexible hybrid working environment for office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: "Flex My Way" policies support personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
• Career Development and Growth: Culture of continuous learning and skill development with "Grow My Way" programming and a skills-first approach.
• Industry Competitive Benefits: Comprehensive benefits including flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized for inclusion and belonging, flexibility, work-life balance, and values-driven environment.
• Social Impact: Two paid volunteer days off annually, opportunities for pro-bono consulting, and Environmental, Social, and Governance (ESG) initiatives.
• Additional Benefits: Market competitive health, dental, vision, disability, and life insurance; 401k plan with company match; paid holidays (including two company mental health days off); parental leave; sabbatical leave; optional hospital, accident, and sickness insurance; optional life and AD&D insurance; Flexible Spending and Health Savings Accounts; fitness reimbursement; Employee Assistance Program; Group Legal Identity Theft Protection; 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; Employee Stock Purchase Plan.

Pay

The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $228,000 USD - $424,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $198,200 USD - $368,000 USD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills, and experience with consideration given to internal equity. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.