AI Product Engineering Manager

AI Product Engineering Manager

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Mers 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 3

Mers.

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 Dev Ops tools. The ideal candidate will possess strong collaboration, communication, leadership, and technical skills to drive the success of our projects.

• 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 product ionize winners.

• 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.

• 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.

• 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 No
  
  SQL and graph databases—design, index, and optimize Mongo
  
  DB/Dynamo
  
  DB and Neo4j/Neptune schemas that feed real‑time AI workloads.
• Special…