AI Product Engineering Manager

3M • Maplewood, MN

2d • Onsite

About The Position

AI Product Engineering Manager Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government or military experience to a 3M career. The Impact You’ll Make in this Role 3M is seeking a talented and experienced AI Product Engineering Manager to join our team. As a key member of our organization, you will be responsible for engineering AI products, leveraging your expertise in cloud platforms, LLMs and DevOps tools. The ideal candidate will possess strong collaboration, communication, leadership, and technical skills to drive the success of our projects. In this role you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by: Set the technical product vision and multi-year roadmap for 3M’s enterprise AI portfolio—translate business outcomes into shippable milestones, reference architectures, and cloud-first adoption paths. Design and build end-to-end AI products that scale—stitch together LLMs, serverless runtimes, feature stores, vector databases, and model registries to deliver high experience products. Own the full product engineering lifecycle—from user-story intake and rapid prototyping to hardened MLOps/LLMOps pipelines with CI/CD, automated testing, lineage, drift alerts, and one-click rollback. Shape intuitive, trust-building AI experiences—partner with UX researchers and designers to turn complex model outputs into clear, actionable interfaces that boost user confidence and adoption. Embed “secure-by-design” guardrails—codify policies for data privacy, model governance, cost attribution, and reliability SLAs. Lead cross-functional squads and strategic vendors—mentor engineers, tame scope creep, and serve as the escalation point for production incidents and post-mortems. Drive relentless product-market fit—run A/B experiments, analyze usage telemetry, iterate on UX, and kill features that don’t move the KPI needle. Champion a culture of continuous innovation—evaluate emerging AI tooling, run proof-of-value sprints, and productionize winners. In this role, you will play a crucial part in driving the success of our Generative AI projects, leveraging your expertise and leadership skills to deliver innovative solutions and contribute to the advancement of AI technology.

Requirements

• Bachelor's degree or higher (completed and verified prior to start) in Computer Science or Engineering.
• Five (5) years of experience in leading large scale AI Products/Software engineering projects in a private, public, government or military environment
• Five (5) years of full-stack development experience—crafting modern front-ends (e.g., React/Angular) and cloud-native back-ends (Python/Node/Java), and integrating them with CI/CD pipelines.
• Two (2) years of experience in building Gen AI powered products.

Nice To Haves

• Knowledge of Agentic AI solutions—autonomous task-planning and tool-using agents that integrate securely with enterprise systems while maintaining explainability and guardrails.
• Master’s degree in computer science, Engineering, or related field from an accredited institution.
• Deep fluency in one hyperscale cloud (AWS or Azure) and working knowledge of the other.
• Practical experience operationalizing Responsible AI principles under the NIST AI Risk Management Framework—translating policy into concrete controls, metrics, and audit artifacts.
• Experience in NoSQL and graph databases—design, index, and optimize MongoDB/DynamoDB and Neo4j/Neptune schemas that feed real-time AI workloads.
• Special consideration will be given to candidates with prior experience in R&D, Supply Chain or related fields.

Responsibilities

• Manage the AI product engineering life cycle end-to-end – from concept and POC funding through GA, depreciation, and graceful sunset, ensuring documentation and compliance stay current.
• Scout emerging AI capabilities for competitive edge – track LLM, multimodal, and agent-framework advances; surface vetted opportunities to the roadmap without dictating platform choices.
• Drive cross-functional delivery – align data scientists, UX, and platform engineering to hit release dates without scope creep.
• Integrate everything, break nothing – orchestrate cross-cloud APIs, event buses, and automation frameworks so data scientists ship features without waiting on ops tickets.

Benefits

• 3M offers many programs to help you live your best life – both physically and financially.
• To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
• Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees