Lead Product Engineer; Full Stack), Materia AI

Lead Product Engineer (Full Stack), Materia AI

Are you excited about building AI-driven software that redefines how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we combine the agility and innovation of a startup with the stability and resources of a global leader. As a Lead Product Engineer, you will play a pivotal role in developing AI-powered systems that enhance accounting workflows through automation, intelligence, and seamless orchestration.

Be part of a fast-moving, forward-thinking group that is creating AI-driven software for accounting professionals. You'll join a team of top engineers and AI developers, leveraging cutting-edge technology to build intelligent and scalable systems. This role is for the CoCounsel for Accounting team, formed from the recent acquisition of the startup Materia.

Lead full stack initiatives—from React interfaces to Python-based AI services and APIs. You'll architect and implement complete features that bring generative AI capabilities to life, alongside core product capabilities that streamline and modernize accounting workflows. Crafting both the user-facing experiences and the intelligent systems that power them, your work will shape how thousands of accounting professionals leverage AI and modern software in their everyday workflows.

Work closely with product managers, designers, and AI specialists to deliver elegant, high-performance features. Your ability to translate complex requirements into complete solutions—beautiful interfaces backed by robust APIs and services—will be key to our product’s success.

In this role as a Lead Product Engineer, you will:

• Develop and own complex, 6+ month projects from beginning to end, including ideation, working with cross-functional partners in product and UX, testing, launching, measuring impact, and iteration.
• Design, build, and maintain generative AI products such as Conversations, Accounting Research, Ready to Advise, and Work spaces.
• Build engaging front-ends using Next.js, Type Script, and Tailwind CSS.
• Develop robust back-ends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and AI service integration.
• Identify bottlenecks and optimize for speed, scalability, and responsiveness across the full stack.
• Serve as a product leader for full stack projects through making prioritization decisions, scoping out timelines, guiding the work of product and backend engineers, and collaborating with cross-functional partners.
• Contribute to technical design decisions across the stack, including architecture, API design, and system integration patterns.
• Set and enforce team-wide frameworks, best practices, code quality and best practices for both front-end and back-end development.
• Apply strong design sensibilities to deliver polished, accessible, and user-centric interfaces.
• Proactively collect feedback from end users and internal stakeholders, and iterate accordingly.

You are a fit for a Lead Product Engineer (Full Stack) if your background includes:

• 7+ years building web applications at scale, with practical experience in both front-end and back-end development (we welcome engineers who are stronger in one area but capable in both).
• Passion for UI/UX and product design — enjoy refining details that matter to users.
• Self-driven with a proactive approach to problem-solving and prioritization.
• Experience building new products or features from 0 to 1 or from ideation to release.
• Excellent debugging skills and an eye for performance optimization.
• Strong leadership and cross-functional collaboration abilities.

• Bachelor’s degree in Computer Science, HCI, or related field.
• Experience working in a startup or similar fast-paced setting.
• Experience building Chatbot interfaces or other AI-native products.
• Familiarity with large language models (LLMs), AI agent design, and/or prompt engineering.
• Opinionated about testing methodologies, A/B testing, and safe rollouts.

• Hybrid Work Model:
  We’ve adopted a flexible hybrid…