Product Manager, Semantic LayerActive$220K

Anduril Industries
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The opportunity

CorpTech Platform is the internal engineering force multiplier behind Anduril's corporate systems. It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure.

What you'll do

  • Own product strategy, roadmap, and success metrics for the product suite that: supports building and maintaining the semantic layer and ontology.

  • Partner across data engineering, analytics engineering, data analytics, and: master data management to define shared metrics, dimensions, entities, and relationships once, then reuse them everywhere.

  • Turn conflicting definitions, data disputes, and modeling ambiguity into a: governed source of truth that teams adopt.

  • Act as a hands-on builder by submitting code PRs with AI coding agents such: as Claude Code for the semantic layer application.

  • Build and operate a feedback and triage loop for definition requests,: data-quality issues, and adoption blockers.

  • Define governance and contribution standards for the ontology, including: ownership, versioning, and change management, so the model stays coherent as sources and teams grow.

What they're looking for

  • Hands-on experience with a semantic layer or metrics layer (dbt Semantic: Layer, Cube, LookML, AtScale, Malloy, or similar) and modern warehouses such as Snowflake, BigQuery, or Databricks.
  • Experience owning or contributing to a master data management program,: including entity resolution, golden records, and stewardship.
  • Familiarity with frontier AI tooling, AI coding assistants, and agentic: development workflows applied to data and analytics.
  • Experience building against a data catalog, lineage, or governance tooling in: a large or fast-growing data estate.
  • Familiarity with enterprise systems and business process domains such as ERP,: CRM, finance, supply chain, or manufacturing.
  • Experience in hyper growth startup-like environments, with demonstrated: success balancing speed, ambiguity, autonomy, and long-term data health.
  • Eligible to obtain and maintain a U.S. Secret security clearance.