Lead Product Engineer (Full Stack - Python / React), Materia AI (Evergreen)

Lead Product Engineer (Full Stack), Materia AI Lead Product Engineer (Full Stack) - Materia AI Team: Lead Product Engineers work across the end-to-end software development life cycle, applying modern full-stack practices when defining, designing, building, testing, and delivering AI-driven accounting software. They collaborate effectively with cross-functional teams and senior stakeholders to deliver complex projects from ideation to release. You will utilize deep backend expertise in Python/FastAPI to architect scalable services and APIs, with strong full-stack capability across the React/Next.js/TypeScript front end. You will represent engineering in project management, make prioritization decisions, and drive progress towards milestones. This role independently builds backend-driven full-stack solutions, solves highly complex problems, and displays innovation when delivering AI-powered products. Lead Product Engineers mentor and guide engineers while setting team-wide frameworks and best practices, and partner with leadership to influence product roadmaps. Lead Product Engineer (Full Stack), Materia AI Are you excited about building AI-driven software that redefines how professionals work?  Have you built scalable Python backend systems that power customer-facing products?  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  designing and building the backend services and APIs that power AI-driven accounting workflows, while contributing across the full stack to rapidly iterate on features, drive user engagement, and optimize outcomes through data-driven experimentation. Innovate in a Startup-Like Environment  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. Create Impactful, AI-Driven Experiences  Lead backend-driven full stack initiatives — from Python-based AI services and APIs to the React interfaces that bring them to life. You'll architect and implement complete features that deliver generative AI capabilities, alongside core product systems that streamline and modernize accounting workflows. Building the intelligent backend systems and connecting them to polished user experiences, your work will shape how thousands of accounting professionals leverage AI and modern software in their everyday workflows. Collaborate Across Functions  Work closely with product managers, designers, and AI specialists to deliver elegant, high-performance features. Your ability to translate complex requirements into robust solutions — scalable APIs and services complemented by polished interfaces — will be key to our product's success. About the Role: In this role as a  Lead Product Engineer , you will work on a  backend-leaning full stack team  building customer-facing product features. This role is a  backend-leaning full stack position . The team is looking for engineers with strong  Python backend experience  who have worked on  customer-facing product systems . While the role involves both backend and frontend development, the primary focus is building  scalable backend services and APIs  that power product features. Candidates should have strong experience building backend systems using  Python frameworks such as FastAPI, Flask, or Django , and be comfortable designing APIs and services that operate at scale. On the frontend side, the team works with modern frameworks including  React, Next.js, and TypeScript , so candidates should be comfortable contributing across the stack and connecting frontend interfaces to backend services. The ideal ca ... (truncated, view full listing at source)