Vice President, Product Transformation
About the role
This role will define and drive the AI-era operating model for our 400+ PM organization. It is a hands-on, builder-operator role - not a strategy seat.
Responsibilities
- Own the future of the PM craft at Thomson Reuters.
- Define what “great” looks like for the AI-era Product Manager.
- Set the bar, model it visibly, and create the gravitational pull that raises the entire org.
- Hands-on technical demonstration.
- Personally set up and showcase the modern AI development stack: Claude Code with GitHub integration, agentic prototyping workflows, evals frameworks, prompt libraries, AI cost attribution.
- Unified operating model across Product, Engineering, and Design.
- Consistent practices and cadences, transparency on deliverables and decisions across the portfolio, and shared knowledge management.
- AI tool governance.
- Sanctioned tools, license management, adoption tracking, ROI measurement, FinOps for LLMs.
- Small, high-leverage execution team.
- Hand-picked 3–5 senior doers - not a layer of program managers.
- Capability uplift programs.
- AI fluency, agentic design, evaluation discipline, outcome ownership across 400+ PMs.
Qualifications
You’re a fit for the role of Vice President, Product Transformation if you are:
- Independent and self-driven.
- Techfluently hands-on.
- A charismatic communicator and driver.
- A builder, not a process designer.
- Future-oriented operator.
- Experience Profile:
- 10+ years in product or product operations leadership.
- 3+ years building AI-native products in production - not just adjacent to AI work.
- Hands-on with the modern stack: Claude Code, Cursor, GitHub Copilot, v0 / Lovable / Bolt, evals tooling (Braintrust, LangSmith, or equivalent), RAG architectures, agent frameworks.
- Led transformation at scale in a 200+ PM organization (preferred: Anthropic, OpenAI, Stripe, Linear, Notion, Figma, Atlassian, Intuit, Shopify, Adobe, ServiceNow, or comparable AI-forward orgs).
- Built and led small high-leverage teams - has demonstrated they can do more with less.
- Cross-functional executive influence without formal authority - has navigated CTO, CPO, segment leader dynamics before.
- Strongly Preferred Founder or early-employee experience at an AI-native company that scaled.
- Public technical thought leadership - blog posts, talks, open-source contributions, or published frameworks.
- Experience in regulated industries (legal, financial services, healthcare) where AI governance is non-trivial.
- Track record of pulling existing organizations through cultural transformation, not just greenfield builds.
Benefits
The base compensation range for the role in any of those locations is $220,200 USD - $408,900 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. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.