Senior Product Manager - Applied Intelligence
Anduril IndustriesAutonomous Systems company
Santa Ana, United States$166,000 - $220,000 USDSenior
Founders Fund
Andreessen Horowitz
Thrive Capital
Valor Equity Partners
General Catalyst
Sands Capital
Product
About the role
TL;DR
Owns product strategy, roadmap, and success metrics for AI-powered manufacturing applications.
- •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.
- •You will build and deploy ML pipelines for factory sensing, document processing, and drawing conversion, and develop RAG-enabled tools and agentic AI workflows that eliminate manual toil from business operations.
- •Key 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.
- •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.
- •Requirements 8+ years in a software product management role or similar leading role in product development, with at least 3+ years focused on AI/ML products.
- •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.
Required skills
Product ManagementLLMsComputer VisionNLPProduct StrategyRoadmappingPRDsFeature PrioritizationCustomer DiscoveryAgileScrumKanbanUser Research
Nice-to-have skills
PythonTensorFlowPyTorchscikit-learnOpenAI APIAnthropic APIGemini APILangChain
Domain expertise
defense
Benefits & perks
equity, health insurance
Tech stack
PythonJavaScriptTypeScriptSQLBashReactNode.jsTensorFlowPyTorchscikit-learnOpenAI APIAnthropic APIGemini APILangChainHugging FaceComputer VisionNLPLLMsMLflowKubeflowSageMakerVertex AIDockerKubernetesCI/CDGitLinuxJiraConfluenceFigma