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Product Manager Machine Learning Jobs in Minneapolis, MN

Tennant Company

Machine Learning Engineer

Golden Valley, MN · On-site

$119K - $122K/yr

Azure AI Foundry, Apache Hadoop, Spark, Kafka, HBase, Hive, Storm and managed services such as ... Drive the quality and innovation our customers rely on in our products and services. Connect with ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · Hybrid

$119K - $122K/yr

Azure AI Foundry, Apache Hadoop, Spark, Kafka, HBase, Hive, Storm and managed services such as ... Drive the quality and innovation our customers rely on in our products and services. Connect with ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... A high level of comfort with academic literature and the ability to adapt research products to ...

Dahl Consulting

Machine Learning Engineer

Brooklyn Park, MN · On-site

$60.15 - $75.18/hr

The Machine Learning Engineer will support and maintain production ML pipelines that generate inventory and workload insights for our client''s stores data science applications. These workflows run ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... A high level of comfort with academic literature and the ability to adapt research products to ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

Machine learning experience using visual data * Understanding of a variety of machine learning ... A high level of comfort with academic literature and the ability to adapt research products to ...

Minnesota Jobs

Technical Product Manager

Eden Prairie, MN · On-site

$170K - $196K/yr

Technical Product Manager (AI Product Manager) Optum is a global organization that delivers care ... Broad understanding of the machine learning lifecycle, natural language processing (NLP), Large ...

New

Artius Solutions

AI Product Manager

Chanhassen, MN · On-site

AI Product Manager Location: Chanhassen, MN (Hybrid - Onsite & Remote) Type: Contract | Full-Time ... Strong understanding of machine learning lifecycle (model development, validation, deployment)

UnitedHealth Group

Technical Product Manager

Eden Prairie, MN · On-site +1

$170K - $196K/yr

As a Technical Product Manager (AI Product Manager) in our Chief Digital Office (CDO) within Optum ... Broad understanding of the machine learning lifecycle, natural language processing (NLP), Large ...

UnitedHealth Group

Technical Product Manager

Eden Prairie, MN · On-site

$170K - $196K/yr

As a Technical Product Manager (AI Product Manager) in our Chief Digital Office (CDO) within Optum ... Broad understanding of the machine learning lifecycle, natural language processing (NLP), Large ...

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All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Minneapolis, MN

Product Manager Machine Learning information

See Minneapolis, MN salary details

$53.8K

$166.4K

$205.6K

How much do product manager machine learning jobs pay per year?

As of Aug 28, 2026, the average yearly pay for product manager machine learning in Minneapolis, MN is $166,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,200.00 and $205,600.00 per year, depending on experience, location, and employer.

What does a product manager machine learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What are the key skills and qualifications needed to thrive as a product manager machine learning?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a product manager machine learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What job categories do people searching Product Manager Machine Learning jobs in Minneapolis, MN look for?

The top searched job categories for Product Manager Machine Learning jobs in Minneapolis, MN are:

Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Minneapolis, MN as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $166,387 per year, or $80 per hour.

Machine Learning Engineer

Solution Design Group

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

SDG is a high-performance software community. We are a team of collaborative and creative consultants who build and deliver custom software for some of the most recognizable local and national brands. In this role, you will be asked to leverage your current skills while also learning new ones. Working in over 500 different technologies and continually learning together, you can expect a one-of-a-kind and award-winning work experience. Our team at SDG has exceptional integrity and the desire to create the best possible customer solutions. We are proud to partner with our customers to consistently provide a successful working relationship as a high-performance team. 

We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our customer's products and services. You will be a part of a tight-knit technical community, giving you the opportunity to constantly grow your development amongst top technical talent. You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions. SDG is looking for a hard worker with a team-oriented mindset, that has at least 3 years of experience and an in-depth understanding of machine learning and cloud data tools. A successful Machine Learning Engineer at SDG is a lifelong learner who is motivated to continually improve their craft and thrives amongst their fellow employee-owners.
SDG's Machine Learning Engineer's have proven experience with the following responsibilities. If you do too, we want to hear from you:
  • Design, implement, and optimize machine learning algorithms and models to address specific business challenges.
  • Collaborate with data engineers to preprocess and transform raw data into a format suitable for machine learning models. Conduct feature engineering to extract relevant information for model training.
  • Train, validate, and fine-tune machine learning models using state-of-the-art techniques. Evaluate model performance and iterate on models to improve accuracy and efficiency.
  • Deploy machine learning models into production environments and integrate them into existing systems. Collaborate with software engineers to ensure seamless integration with our products.
  • Stay abreast of the latest developments in machine learning and related fields. Proactively identify opportunities to enhance existing models and propose new approaches to solve business problems.
Requirements:
  • 3+ years of hands-on, professional machine learning development experience, delivering solutions in a large scale enterprise environment
  • Experience with Public Cloud Providers such as AWS and Microsoft Azure
  • Experience with AWS and/or Azure data tools and services
  • Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub Copilot) to increase development velocity, improve code quality, and support complex problem-solving
  • Strong understanding of data processing, data engineering, and data visualization.
  • Experience with SQL and NoSQL databases
  • Proficient in programming languages such as Python and R
  • Familiarity with big data technologies such as Apache Spark
  • Experience with Machine Learning frameworks such as TensorFlow or PyTorch
  • Ability to work effectively in a collaborative, cross-functional team environment. Excellent communication skills and the ability to explain complex concepts to both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills. Proven ability to tackle complex problems and deliver robust machine learning solutions.
  • Prior consulting or professional services experience is a bonus
  • Education degree or certification in Computer Science, or the equivalent related work experience
 
What's in it for you?
  • Full-time salaried consultant position
  • A true stake in success. SDG is an ESOP - 100% employee owned 
  • Star Tribune Top Workplace winner the last 7 consecutive years
  • National Top Workplace in 2023, 2024 & 2025
  • Engaged teammates who care about quality solutions 
  • Challenging and rewarding work with great customers 
  • Various opportunities to give back to the community 
  • Be amongst some of the best technologists in the industry
  • Dedicated to our core values of superior customer service, exceptional employee experience, and responsible corporate citizenship
  • Opportunities to connect with other SDGer's via internal communities, committees, and events - virtually and in person
SDG is proud to offer an array of benefits for our employees including but not limited to medical, dental, and vision insurance benefits, paid time off, paid holidays, short and long-term disability, life insurance options, a monthly technology reimbursement allowance, 401k, birth and non-birth parent leave, ESOP, trainings and certifications, and company-owned cabins. Fair and equitable compensation is important to us. The salary range for this opportunity is $130,000 - $170,000. The offer may fall outside this range given factors such as skills and experience. The salary range is subject to change and may be modified at any time.
 
 
Applicants must be authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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