Senior AI Product Manager, Manufacturing Intelligence

Anduril Industries; Santa Ana (CA); On-site; USD 166,000 - 220,000; Full time

Benefits offered by this job

Competitive equity grants

Top-tier benefits

Health coverage

Job summary

Anduril Industries is seeking a Senior Product Manager for Applied Intelligence to own the strategy, roadmap, and success metrics for AI-powered manufacturing applications. You will build ML pipelines for factory sensing, document processing, and drawing conversion, and deploy AI systems on the factory floor alongside operators and engineers.

You will guide product prioritization, collaborate across ML, data, manufacturing, and business teams, and drive adoption with a focus on measurable

Qualifications

• 8+ years in a software product management role or similar leading role in product development.
• Domain expertise within manufacturing, industrial operations, or AI/ML applications in operational environments.
• Demonstrated ability to gather and refine requirements for AI/ML systems including model performance targets, data requirements, human-in-the-loop workflows, and explainability needs.
• Strong understanding of ML product lifecycle including data collection, model training, validation, deployment, monitoring, and retraining.
• Experience managing AI products that involve computer vision, NLP, document processing, or intelligent automation in production environments.
• Excellent written and verbal communication skills, with the ability to explain AI capabilities and limitations to non-technical stakeholders and build trust in AI-powered systems.
• Demonstrated success working directly with end users in operational environments, observing where AI can add value and where simpler solutions are more appropriate.
• Ability to navigate cross-team dynamics between ML engineering, data engineering, software engineering, and business operations teams.
• Ability to balance requirements across engineering, design, data science, and business stakeholders while maintaining focus on operational impact.
• Must be able to travel up to 25% of the time.
• U.S. Person status is required as this position needs to access export controlled data.

Responsibilities

• Develop a long-term strategy for AI-powered manufacturing applications, navigating tradeoffs between computer vision, document processing, RAG-enabled tools, and agentic AI workflows based on operational impact.
• Define the product roadmap for ML pipelines including factory sensing, document processing, and intelligent automation.
• Gather and refine functional and non-functional requirements and translate them into a prioritized backlog.
• Communicate AI roadmap across stakeholders and manage expectations for model performance and deployment timelines.
• Walk the factory floor to observe operations and identify where AI adds genuine value.
• Own deployment and adoption of AI systems, including change management and user training.
• Navigate organizational dynamics between Applied Intelligence, data engineering, software engineering, and business operations.
• Explore frontier AI tech including RAG pipelines and agentic AI for workflows.
• Define success metrics and KPIs for AI systems and track value.
• Drive adoption of AI tools across production, quality, engineering, and business teams.
• Partner with ML engineers to ensure data quality and validation processes.

Skills

AI/ML products

Manufacturing domain

Requirements gathering

ML lifecycle

CV/NLP/document processing

Cross-functional collaboration

Communication

End-user focus

Stakeholder management

Travel readiness

US export-controlled awareness

Job description

Anduril Industries is seeking a Senior Product Manager for Applied Intelligence to own the strategy, roadmap, and success metrics for AI-powered manufacturing applications. You will build ML pipelines for factory sensing, document processing, and drawing conversion, and deploy AI systems on the factory floor alongside operators and engineers.

You will guide product prioritization, collaborate across ML, data, manufacturing, and business teams, and drive adoption with a focus on measurable