Lead Product Engineer, AI Ventures
Own the design direction for early-stage AI product opportunities within Thomson Reuters’ AI Ventures incubation team. Use user research, rapid prototyping, experimentation, and strong product judgment to validate ideas and reduce product uncertainty. Partner closely with Product and Engineering to turn ambiguous customer and workflow problems into clear, testable concepts and determine which opportunities should progress toward production.
Responsibilities
- Lead product discovery and concept validation through user research, rapid prototyping, and business context.
- Turn ambiguous customer problems and workflows into clear, testable product concepts.
- Rapidly prototype different product directions to evaluate workflow, product value, and user experience.
- Use evidence from users, Product, and Engineering to recommend whether ideas should be built, changed, paused, or stopped.
- Own the end-to-end product experience, including workflows, screens, key states, and interaction details.
- Design AI-powered professional experiences that go beyond simple chat interfaces and static screens.
- Help users understand AI-generated outputs, their limitations, and the choices available to them.
- Create reusable patterns for AI-assisted workflows with an emphasis on transparency, accessibility, user control, and trust.
- Partner closely with Product and Engineering from discovery through delivery.
- Translate prototypes into feasible product direction and remain involved as successful concepts move toward production.
- Help establish a high bar for product and experience quality across early AI Ventures products.
- Balance rapid experimentation with enterprise expectations around quality, accessibility, trust, and compliance.
Requirements
- Significant experience designing digital products, ideally including new products or early-stage concepts.
- A strong portfolio or work examples demonstrating product thinking, interaction design, visual design quality, and shipped product experiences.
- Experience designing AI-powered products, complex decision-support tools, or professional workflow products.
- Strong experience with user discovery, customer conversations, rapid prototyping, and concept testing.
- Ability to move quickly from an idea to a testable prototype using modern design and prototyping tools, including AI-assisted tools where appropriate.
- Experience partnering closely with Product Managers, Engineers, and senior stakeholders.
- Strong communication skills with the ability to clearly explain design rationale, customer insights, and product evidence.
- Experience working in enterprise or regulated environments where accessibility, trust, transparency, or compliance are important.
- A strong customer mindset and the ability to design experiences that help professional users understand, trust, and confidently use AI-powered products.
Benefits
- Hybrid Work Model with flexible work arrangements, including work from anywhere for up to 8 weeks per year.
- Flex My Way policies supporting work-life balance, including flexible work arrangements and supportive workplace policies.
- Career development and growth opportunities through Grow My Way programming and a skills-first approach.
- Comprehensive benefits including flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, and employee incentive programs.
- Resources for mental, physical, and financial wellbeing.
- Social Impact Institute offering two paid volunteer days off annually and opportunities for pro-bono consulting and ESG initiatives.
Pay
Eligible office locations for this role include New York City, San Francisco, Los Angeles, Irvine (CA), McLean (VA), and Washington, DC, with a base compensation range of $136,000 USD - $253,000 USD. For other eligible US locations, the base compensation range is $118,400 USD - $219,800 USD. For Ontario, Canada, the base compensation range is $140,600 CAD - $190,600 CAD. Base pay is positioned within the range based on knowledge, skills, experience, and internal equity. This role may also be eligible for an Annual Bonus based on enterprise and individual performance.