Senior Product Engineer, Data

The Analytics team models Andurils 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. We believe the most valuable thing a unified data model can do is serve as the foundation for products people rely on every day.

Most data work stops at the dashboard. For this role thats where the work begins.

As a Product Engineer on the Data team youll build internal products on top of Andurils unified data model. These are tools that people across Finance Supply Chain Manufacturing People and Sustainment use to run their part of the business not just monitor it. Youll own products end to end: talking to users deciding what to build designing the data underneath shipping the interface on top and measuring whether it worked.

Youre an engineer who cares more about the problem than the tech. You know data modeling well enough to extend the foundation and youre comfortable across the stack when a product needs it. What drives you is taking a messy operational problem figuring out what should exist and getting it into users hands quickly.

We care less about the stack you already know than about how you handle problems you havent solved before. Maybe youve built React frontends or worked with optimization algorithms. If you used them to solve real problems for real users great. Were looking for people who see a hard problem and think I want to solve that and Ill learn whatever it takes.

WHAT YOULL 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 its 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 havent thought of yet.
• Build on the ontology and extend it.Use Andurils 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 whats worth building what good enough looks like what to cut and when to kill an idea.
• Raise the bar for the team.Show the rest of Analytics whats possible when data models become products.

You dont need to know all of this on day one. Youll pick it up quickly and youll probably add to it.

• Databricks: our central foundation for data applications visualization and large-scale analysis
• dbt: SQL transformations with version control testing and CI/CD
• Dagster: asset-based event-driven orchestration

• 4 years building software or data products as a Product Engineer Software Engineer Data/Analytics Engineer or technical consultant with a strong engineering background
• A track record of shipping products from 0 to 1 that people actually used whether at work at a startup or on your own
• Strong product sense: you can tell a real problem from a stated one prioritize what to build first and make trade-offs between scope speed and quality
• Strong data modeling fundamentals: you can design entities and relationships that generalize and explain the trade-offs
• Solid programming skills in Python and SQL and comfort picking up new languages and frameworks when a product calls for it
• Comfort working directly with users and non-technical stakeholders and communicating clearly with them
• Experience working with sensitive data and following security protocols
• Eligible to obtain and maintain an active U.S. Secret security clearance

• 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

The salary range for this role is an estimate based on a wide range of compensation factors inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience education and/or training critical skills and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Andurils total compensation package. Additionally Anduril offers top-tier benefits for full-time employees including:

At Anduril we invest in our people. Our comprehensive competitive benefits package (available at little to no cost to employees) ensures youre supported in health recovery and whatever comes next.For more information Explore Our Benefits.

To view Andurils candidate data privacy policy please visit submitting your application you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk integrity and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists adverse media public-record information and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology intellectual property and organizational security.