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Product Manager Machine Learning Jobs in Michigan

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Putting your model into production using AWS or GCP. Required Qualifications * BS. in Computer ...

Corning

Are you ready to turn machine learning ideas into reliable solutions that improve how products are made? What is your role? As a Machine Learning Engineer, you will work within a collaborative ...

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

AIPGEE, Advance data Migration, API, Data Management Experience Required:5+ years of experience in ... A production-ready middleware layer that ingests, aggregates, and exposes the 6 core operational ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

Our first commercial-scale lithium production facility, Lithium One, is targeting initial production in Q1 of 2027. As a Machine Learning Engineer at Mariana, you'll help build and improve the ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... Ensure AI solutions are scalable, secure, reliable, and production-ready * Collaborate with ...

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

... managing, and exploring large, high dimensional structured and unstructured datasets (e.g., RAV ... and insights into production for maximum business value Communicate, present, and interpret ...

Domino's Pizza

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Design, develop, deploy, and support production ML and AI solutions using Azure, Databricks, and ... Contribute to model deployment, monitoring, and lifecycle management activities. * Participate in ...

Domino's

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Design, develop, deploy, and support production ML and AI solutions using Azure, Databricks, and ... Contribute to model deployment, monitoring, and lifecycle management activities. * Participate in ...

Corning

$95K - $130K/yr

Are you ready to lead the technical delivery of production-grade machine learning solutions that can transform manufacturing performance? What is your role? As a Senior Machine Learning Engineer, you ...

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All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Michigan

Product Manager Machine Learning information

See Michigan salary details

$44.9K

$138.9K

$171.7K

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

As of Aug 27, 2026, the average yearly pay for product manager machine learning in Michigan is $138,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $171,700.00 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 are popular job titles related to Product Manager Machine Learning jobs in Michigan?

For Product Manager Machine Learning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Product Manager Machine Learning jobs in Michigan look for?

The top searched job categories for Product Manager Machine Learning jobs in Michigan are:

Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $138,936 per year, or $66.8 per hour.

AI Product Manager - W2

Dearborn, MI • On-site

Miracle Software Systems, Inc.
IT Services • 1 - 5K employees
Learn more about Miracle Software Systems, Inc.external

Other

Posted 20 days ago

Job description

We Miracle Software Systems is looking for the AI Product Manager, Customer Experience- W2

Role: AI Product Manager
Location: Dearborn, Michigan
Duration: 12+Months
 
Key Responsibilities
Define the product vision, roadmap, and priorities for AI models, agents, and intelligence
capabilities.
Determine whether business problems require an AI agent, RAG solution, machine learning model,
or another technical approach.
Partner closely with AI engineers, data scientists, software engineers, and platform teams.
Define evaluation frameworks for model accuracy, response quality, reliability, relevance, safety, and
business impact.
Review AI-generated responses and identify opportunities to improve model performance and user
outcomes.
Translate business and customer requirements into technical AI product requirements.
Make informed product and technical decisions in areas where requirements and solutions are not
fully defined.
Own execution planning, prioritization, stakeholder communication, risks, and dependencies.
Independently identify opportunities and drive initiatives without waiting for assigned tasks.
Preferred Qualifications
Experience as a technical product manager, AI product manager, machine learning product manager,
or similar role.
Strong understanding of generative AI, large language models, AI agents, RAG, embeddings, model
evaluation, and machine learning concepts.
Experience defining success metrics for AI models and AI-enabled products.
Ability to communicate effectively with technical and non-technical stakeholders.
Automotive industry or automotive workflow experience is preferred.
Strong product management and project execution capabilities.
Comfortable working in an ambiguous and rapidly evolving AI environment.

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