Senior Product Engineer, Data
Anduril Industries · Boston, Massachusetts, United States
About this role
## About Anduril Anduril Industries is a defense technology company on a mission to transform U.S. and allied military capabilities with advanced technology. By applying the expertise, technology, and business model of the 21st century’s most innovative companies to defense, Anduril is changing how military systems are designed, built, and sold. Anduril’s family of systems is powered by **Lattice OS**, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control center. As the world enters an era of strategic competition, Anduril is bringing cutting-edge **autonomy, AI, computer vision, sensor fusion, and networking** to the military in months—not years. ## About the Team (Analytics) The Analytics team models Anduril’s internal data into reusable entities that describe how the company actually operates—effectively a **digital twin of our operations**. These entities power workflows, metrics, and applications that help Anduril make better decisions faster. We believe a unified data model should serve as the foundation for products people rely on every day. ## About the Job Most data work stops at the dashboard. For this role, that’s where the work begins. As a **Product Engineer on the Data team**, you’ll build internal products on top of Anduril’s unified data model. These tools are used by teams across **Finance, Supply Chain, Manufacturing, People, and Sustainment** to run the business—not just monitor it. You’ll own products end to end: - Talk to users - Decide what to build - Design the data underneath - Ship the interface - Measure whether it worked You’re an engineer who cares more about the **problem** than the **tech**. You know data modeling well enough to extend the foundation, and you’re comfortable across the stack when a product needs it. ## What You’ll Do - **Own products from 0 to 1**: Find a high-leverage problem, scope it, prototype it, get it in front of users, and iterate until people depend on it. - **Treat operators as your customers**: Spend time with the people doing the work, learn their domain deeply, and turn what they actually need into software. - **Build across the stack**: Work across the data model, backend logic, and user interface—using whatever the problem requires (e.g., frontend, optimization model, forecasting engine, LLM-powered workflow, or something new). ## How We Think We care less about the stack you already know and more about how you handle problems you haven’t solved before. If you’ve built React frontends or worked with optimization algorithms to solve real problems for real users—that’s great. We’re looking for people who see a hard problem and think: **“I want to solve that, and I’ll learn whatever it takes.”**
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