Product Manager, Semantic Layer

ABOUT THE TEAM

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

We build the foundations that power both CorpOS enabling Finance and Growth to operate with speed and precision and ArsenalOS the digital backbone of Andurils hardware enterprise. By unifying systems accelerating development velocity and embedding intelligence into every layer CorpTech Platform transforms how the company operates end to end.

We are driving Anduril toward becoming an autonomous enterprise. Through initiatives like the Autonomous Software Factory we are rethinking how software is built tested deployed and evolved by integrating AI into the engineering lifecycle.

ABOUT THE JOB

Anduril runs on trusted data and today too much of it means different things to different teams. The Product Manager Semantic Layer & Ontology owns the product suite that lets us define build and maintain a single semantic layer: the shared metrics dimensions entities and relationships that data engineering analytics engineering analytics and master data management all build against. This is a hands-on role. You will submit code PRs with AI coding agents to extend the semantic models ui and tooling. You will sit at the seam of every data function so the definitions you ship become the version of the truth the business reports on.

WHAT YOULL 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.
• Balance a canonical master data model against the speed analytics and downstream teams need to ship.
• Communicate modeling decisions trade-offs and data-quality risks to data teams business stakeholders and senior leadership.
• Establish a model for AI-enabled product development where the PM contributes directly to the semantic layer without compromising lineage reliability or governance.

REQUIRED QUALIFICATIONS

• 5 years of experience across product management and one or more data functions: data engineering analytics engineering data analytics or master data management in a fast-paced environment.
• Demonstrated experience owning a data product or working in a data technical function and pivoting into product.
• Demonstrated builder orientation including submitting code such as SQL dbt Python or semantic-layer definitions and shipping with AI coding agents.
• Strong technical fluency in semantic layers dimensional modeling data pipelines and the trade-offs between a governed model and local team speed.
• Demonstrated ability to work across multiple data teams with competing definitions and align them on a shared model.
• Ability to operate with high autonomy while maintaining judgment communication and alignment across data engineering business partners and leadership.
• Excellent written and verbal communication skills with the ability to influence senior engineers data teams and executive leadership.
• Degree in Computer Science Information Systems Engineering Statistics or related field or equivalent practical experience.
• U.S. Person status is required as this position needs to access export controlled data.

PREFERRED QUALIFICATIONS

• 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.

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:

Benefits

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.

Data Privacy

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.