Senior Product Engineer, DataPosted today$220K

The opportunity

The Analytics team models Anduril’s internal data into reusable entities that describe how the company actually operates, in effect a digital twin of our operations. Those entities power the workflows, metrics and applications that help Anduril make better decisions faster.

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 it’s something people depend on.

  • Treat operators as your customers. Spend time with the people doing the: work, learn their domain in depth, and turn what they actually need (as opposed to what they first ask for) into software.

  • Build across the stack. Work across the data model, backend logic and user: interface. Use whatever the problem needs: a frontend, an optimization model, a forecasting engine, an LLM-powered workflow or something we haven’t thought of yet.

  • Build on the ontology and extend it. Use Anduril’s unified data model as the: base for your products, and push changes back into the model when a product reveals a gap.

  • Ship fast and measure impact. Favor small releases and tight feedback loops.: Success means the business runs differently, not just that the feature went live.

  • Make product calls. Decide what’s worth building, what “good enough” looks: like, what to cut and when to kill an idea.

What they're looking for

  • Frontend development (React, TypeScript) or experience building internal tools end to end
  • Optimization, operations research or simulation (linear/integer programming, scheduling, routing, inventory)
  • Applied ML or LLM-powered application development
  • Experience with Palantir Foundry (Workshop, Ontology, OSDK) or similar operational data platforms
  • Domain knowledge in manufacturing, supply chain, finance or defense operations
  • Early-stage startup experience or a history of wearing multiple hats (engineering, product, design)
  • A portfolio, GitHub or side project that shows you learned something hard because you wanted to