# Senior Product Manager - Applied Intelligence

**Company**: Anduril Industries
**Location**: Santa Ana, California
**Experience**: senior
**Job type**: full-time
**Salary**: $166,000-$220,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5207613007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_28f564d2-699

## Description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. We build and deploy the full technology stack that powers Anduril's shipbuilding factories.

As a Senior Product Manager for Applied Intelligence, you will own the product strategy, roadmap, and success metrics for AI-powered applications that transform how manufacturing operates.

**Product Strategy** You can "see around the corner" for AI in manufacturing, crafting the vision, high-level roadmap, and critical dependencies for 6 to 12 months into the future.

**Product Prioritization** You work backward from your strategy to set clear outcomes for Applied Intelligence in partnership with your engineering, design, and operations partners.

**Problem Discovery and Solution Generation** You become attached to problems, not AI solutions. You seek out real-world context through onsite observation on the factory floor, direct conversations with technicians, quality inspectors, document processors, and business operators.

**Product Execution** From data collection to model deployment to user adoption, you fill gaps wherever needed to make your AI solutions a reality.

**Responsibilities**

- Develop a long-term strategy for AI-powered manufacturing applications, navigating complex tradeoffs between computer vision, document processing, RAG-enabled tools, and agentic AI workflows based on operational impact and technical maturity.

- Define the product roadmap for ML pipelines including factory sensing (computer vision for quality inspection, anomaly detection), document processing (drawing conversion, work instruction digitization), and intelligent automation.

- Gather and refine both functional requirements (what the AI should do) and non-functional requirements (model accuracy, inference latency, explainability, human-in-the-loop requirements) and synthesize them into a prioritized backlog.

- Communicate across stakeholders on AI roadmap and delivery, exercising judgment to educate stakeholders on AI capabilities and limitations, and managing expectations for model performance and deployment timelines.

- Walk the factory floor and observe business operations directly, talking with quality inspectors, document processors, operators, and engineers about where manual toil exists and where AI could genuinely help.

- Own the deployment and adoption of AI systems, including change management, user training, trust-building, and continuous feedback loops that improve model performance over time.

- Navigate organizational dynamics between Applied Intelligence, data engineering, software engineering, and business operations teams, advocating for the right level of AI investment and the right human-in-the-loop controls.

- Explore and incorporate frontier AI technologies including RAG pipelines for knowledge management, agentic AI for workflow automation, and computer vision for manufacturing applications.

- Define success metrics and KPIs for AI systems including model performance, user adoption, operational impact, and ROI, and track these metrics to demonstrate value.

- Drive adoption and enablement of AI-powered tools across production, quality, engineering, and business operations teams.

- Partner with ML engineers and data scientists to ensure training data quality, model validation processes, and feedback loops that continuously improve AI performance.

**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.

## Skills

### Required
- AI/ML
- product management
- manufacturing
- industrial operations
- computer vision
- document processing
- intelligent automation

### Nice to have
- RAG pipelines
- agentic AI frameworks
- large language models
- MLOps practices
- model deployment pipelines
- AI system observability

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5207613007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)