Senior Product Manager - Applied IntelligencePosted today$220K

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: the data infrastructure that makes every machine and sensor visible…

What you'll do

• 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.

What they're looking for

• Experience building or owning AI/ML products for manufacturing including: computer vision for quality inspection, predictive maintenance, document processing, or intelligent automation.
• Hands-on experience in manufacturing industries with time spent on assembly: lines or in production facilities understanding where AI can solve real operational problems.
• Familiarity with frontier AI tooling including large language models (LLMs),: RAG (Retrieval-Augmented Generation) systems, agentic AI frameworks, and AI-assisted workflows.
• Experience with MLOps practices, model deployment pipelines, and AI system: observability including model performance monitoring and drift detection.
• Understanding of computer vision applications in manufacturing such as: automated inspection, defect detection, or pose estimation.
• Experience with document extraction, intelligent document processing (IDP),: or automated drawing conversion systems.
• Experience in hyper-growth startup-like environments, balancing speed,: experimentation, and long-term platform health for AI systems.
• Background in change management for AI adoption, including user training,: trust-building, and managing expectations around AI capabilities.