Are you excited by the opportunity to secure products used by millions of professionals around the world? Join Thomson Reuters as a Manager, Product Security, where you will lead a senior team building the platforms, programs, and tooling that secure our products end-to-end.
The Product Security Manager leads our Product Security Core team, a group of senior engineers responsible for scaling security across Thomson Reuters' product portfolio. In this role, you will own the Secure Software Development Lifecycle for products, including threat modeling, security testing, software supply chain integrity, vulnerability identification and remediation, and secure design patterns. You will also lead our Secure AI program for AI-powered features shipped to customers, including how we review, red-team, and protect AI capabilities in production.
You will partner closely with product engineering, platform engineering, Security Architecture, GRC, IAM, Detection & Response, and business leaders to make security a seamless developer experience. This includes building self-service tools, automation, APIs, and AI-powered security capabilities that help thousands of engineers ship securely.
Location: Toronto, hybrid
About the Role
In this opportunity as AI Product Security Manager, you will:
- Lead and grow the Product Security team, managing, coaching, and developing a team of senior Product Security Engineers covering the full Secure SDLC across Thomson Reuters' product portfolio.
- Own and execute the Product Security program, including threat modeling, secure design, secure code reviews, security testing, software supply chain security, and vulnerability remediation across multiple products and cloud platforms.
- Lead Secure AI for products, defining how Thomson Reuters secures AI-powered customer features through Secure AI design reviews, AI red teaming, runtime protections, and actionable security patterns.
- Build and operate security automation and AI-enabled capabilities, including automated threat modeling, AI remediation agents, LLM security testing, and MCP-based capabilities for engineering teams.
- Scale security as a developer experience by delivering self-service security tooling, APIs, CI/CD-native controls, clear standards, implementation guidance, and security champion programs.
- Operate a security data and analytics layer that supports risk-based prioritization and measurable security outcomes across the enterprise.
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- Partner across security, engineering, and the business to align priorities, support compliance requirements, and translate technical risk into business impact for senior leaders.
About You
You're a fit for the role of AI Product Security Manager if your background includes:
- 8+ years of experience in product security, application security, or software security engineering, including experience leading or managing senior security engineers.
- Demonstrated ownership of a Secure SDLC program across a multi-product engineering organization, including threat modeling, secure design, security testing, vulnerability management, and software supply chain security.
- Hands-on experience with at least one major cloud platform, such as AWS, Azure, or Google Cloud, including identity, networking, secrets management, data protection, and logging.
- Strong software engineering instincts, with the ability to read and write code in Python, Go, or similar languages and engage credibly with senior engineers on design and implementation.
- Working knowledge of GenAI and LLM security, including prompt injection, model and data integrity, agent and tool-use security, and AI supply chain considerations.
- Experience scaling security through developer-friendly tools, APIs, automation, self-service platforms, and CI/CD-native controls.
- Excellent written and verbal communication skills, with the ability to influence senior engineering leaders and translate technical risk into business decisions.
Preferred qualifications:
- Hands-on familiarity with Google Cloud security.
- Experience securing AI/ML platforms, such as Claude Agent SDK, Vertex AI, SageMaker, Bedrock, Azure AI, or self-hosted environments.
- Experience building or operating AI security capabilities, including AI red teaming, automated threat modeling, LLM security testing, or AI agents for security automation.
- Knowledge of software supply chain security, including SBOM, SLSA, provenance, attestation, and workload identity.
- Familiarity with industry frameworks such as OWASP ASVS/SAMM, NIST CSF and SSDF, OWASP LLM Top 10, and MITRE ATLAS.
- Experience with security at scale across containers, Kubernetes, Infrastructure as Code such as Terraform or CDK, and modern CI/CD environments.
- Relevant security certifications such as OSCP, OSWE, CKA/CKS, GCP Professional Cloud Security Engineer, or AWS Security Specialty.
- Industry contributions such as open-source projects, conference talks, working group participation, including CoSAI or OWASP, or research publications.
LI-LP2
New Position: This position is open due to an existing vacancy to support our evolving business needs.
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include 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, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role
Thomson Reuters complies with local laws that require upfront disclosure of the ex
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