ZipRecruiter

Log In

1

Product Manager Machine Learning Jobs in Oak Brook, IL

Moody's Corporation

Machine Learning Engineer

Chicago, IL

$95K - $138K/yr

Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a ... Collaborate with machine learning, software engineering, product development, sales, and cross ...

Posted today

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly ... Familiarity with Docker initialization and environment management. What We Have To Offer Flexible ...

Socket.dev

Machine Learning Engineer

Oakbrook Terrace, IL · On-site

$110 - $145/hr

We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional ... Troubleshoot production issues independently and collaborate effectively when escalation is needed ...

New

next page

Showing results 1-20

All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Oak Brook, IL

Product Manager Machine Learning information

See Oak Brook, IL salary details

$52K

$160.9K

$198.8K

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

As of Aug 30, 2026, the average yearly pay for product manager machine learning in Oak Brook, IL is $160,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,300.00 and $198,800.00 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 Oak Brook, IL look for?

The top searched job categories for Product Manager Machine Learning jobs in Oak Brook, IL are:

What cities near Oak Brook, IL are hiring for Product Manager Machine Learning jobs?

Cities near Oak Brook, IL with the most Product Manager Machine Learning job openings:

Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Oak Brook, IL as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $160,876 per year, or $77.3 per hour.

Manager - Machine Learning

Chicago, IL • On-site

CCC Information Services
1 - 5K employees
Learn more about CCC Information Servicesexternal

$119 - $200/hr

Other

Medical, Retirement

Posted 3 days ago

New

Job description

Salary range is:$119,030.52 - $200,000.00This position is bonus and/or commission eligible.CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.The RoleWe are seeking a Manager to lead our Machine Learning (ML) team in the subrogation business. This role is critical to expanding the emerging subrogation market for CCC and as such is responsible for enhancing the technological edge of CCC’s subrogation products through technical excellence, innovation, and agile development.Key Responsibilities:Partner with product managers and business stakeholders to define technical goals and outcomes for the ML teamCoordinate cross-functional collaboration and delivery for ML subrogation initiativesLead the team to deliver cutting-edge ML features using best-in-class software engineering practicesEstablish industry-leading standards for ML development and deploymentRequirements:Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iterationExpertise with ML system design, model deployment, and production ML systemsExperience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business riskProficiency with AWS cloud and MLOps (Sagemaker, Lambda, Stepfunctions, IAM)Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)Proven ability to build, mentor, and scale high-performing technical teamsExperience translating business objectives into technical roadmaps and deliverablesAbility to balance technical excellence with business priorities and timelinesExcellent communication skills; ability to explain complex technical concepts to non-technical stakeholders including articulation of AI risks and measures taken to mitigate itStrong stakeholder management and cross-functional collaboration skills8+ years in ML/Data Science, with 3+ years managing ML/DS teamsPreferred Qualifications:Experience in subrogation, claims processing, insurance or financial technologyExperience in managing teams of 10+ engineersInterview Policy & Privacy Notice:A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.About CCC's Commitment to Employees:CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.CCC offers competitive compensation and benefits to support you and your families, including:401K MatchPaid time offAnnual Incentive Plan Performance BonusComprehensive health insuranceAdoption AssistanceTuition ReimbursementWellness ProgramsStock Purchase Plan optionsEmployee Resource GroupsFor more information about our benefits, please check out our careers site.Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture hereIf you require reasonable accommodation to complete a job application, please contact (800) 621-8070. #J-18808-Ljbffr

Apply