layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Senior Product Engineer, Data at Anduril

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.
Raise the bar for the team.
Show the rest of Analytics what’s possible when data models become products.
OUR STACK
You don’t need to know all of this on day one. You’ll pick it up quickly, and you’ll 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
REQUIRED QUALIFICATIONS
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

Senior Product Engineer, Data

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