3MAI Product Engineering Manager
Job Description:
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.
Key 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.
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
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.
Additional qualifications that could help you succeed even further in this role include:
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.
Work location:
Work location: This role follows an on-site working model, requiring the employee to work at least four days a week at the 3M Center in Maplewood, MN.
Travel: May include up to 10% domestic/international
Relocation: May be authorized
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
Supporting Your Well-being
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.
Chat with Max
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.
Applicable to US Applicants Only:The expected compensation range for this position is $188,251 - $230,084, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., 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.). Additional information is available at: https://www.3m.com/3M/en\_US/careers-us/working-at-3m/benefits/.
Good Faith Posting Date Range 03/31/2026 To 04/30/2026 Or until filled
All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.
Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.
Pay & Benefits Overview: https://www.3m.com/3M/en\_US/careers-us/working-at-3m/benefits/
3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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