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Salary: USD 166,000 - 220,000 / annual
Anduril Industries is a defense technology company building advanced military systems powered by Lattice OS, an AI-powered operating system for command and control. The Analytics team models Anduril's internal data into reusable entities that serve as a digital twin of operations, powering workflows and applications that help the company make faster decisions.
As a Senior Product Engineer on the Data team, you will build internal products on top of Anduril's unified data model. These are operational tools used by Finance, Supply Chain, Manufacturing, People, and Sustainment teams to actively run their business, not just monitor it. You will own products end-to-end: conducting user research, deciding what to build, designing the underlying data architecture, shipping the user interface, and measuring impact.
You are an engineer who prioritizes solving real problems over technology choices. You have strong data modeling fundamentals and are comfortable working across the full stack when needed. What drives you is taking messy operational problems, determining what should exist, and getting solutions into users' hands quickly.
Key responsibilities include:
- Own products from conception to adoption, finding high-leverage problems, scoping them, prototyping, and iterating with users
- Treat operators as customers, spending time understanding their domain deeply and translating actual needs into software
- Build across the stack: data models, backend logic, and user interfaces, using whatever the problem requires
- Use and extend Anduril's unified data model (ontology) as the foundation for products
- Ship rapidly with tight feedback loops, measuring business impact rather than just feature delivery
- Make product decisions about what's worth building, acceptable quality levels, and when to kill ideas
- Raise the bar for the Analytics team by demonstrating what's possible when data models become products
The team uses Databricks (central foundation for data applications and large-scale analysis), dbt (SQL transformations with version control and CI/CD), and Dagster (asset-based, event-driven orchestration). You don't need to know all of this on day one.
REQUIREMENTS:
- 4+ years building software or data products as a Product Engineer, Software Engineer, Data/Analytics Engineer, or technical consultant with strong engineering background
- Track record of shipping products from 0 to 1 that people actually used (at work, startups, or personal projects)
- Strong product sense: ability to distinguish real problems from stated ones, prioritize what to build first, and make trade-offs between scope, speed, and quality
- Strong data modeling fundamentals: can design entities and relationships that generalize and explain trade-offs
- Solid programming skills in Python and SQL, with comfort picking up new languages and frameworks as needed
- Ability to work directly with users and non-technical stakeholders, communicating clearly
- Experience working with sensitive data and following security protocols
- Eligible to obtain and maintain an active U.S. Secret security clearance
PREFERRED QUALIFICATIONS:
- Frontend development (React, TypeScript) or experience building internal tools end-to-end
- Optimization, operations research, or simulation experience (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 history of wearing multiple hats (engineering, product, design)
- Portfolio, GitHub, or side project demonstrating self-directed learning of difficult concepts
