Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
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.
We build the foundations that power both CorpOS, enabling Finance and Growth to operate with speed and precision, and ArsenalOS, the digital backbone of Anduril's 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 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.
- 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 Anduril's 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 you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
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No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
- Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
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Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
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What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By 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.