ZipRecruiter

Log In

1

Product Manager Machine Learning Jobs in Utah (NOW HIRING)

Pluralsight, LLC

Machine Learning Engineer

Draper, UT · On-site

$160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... Collaborate with Product Managers and UX Designers to better understand the customer, provide ...

Bespoke Labs

Machine Learning Engineer

Orem, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Logan, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Ogden, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

next page

Showing results 1-20

All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Utah

Product Manager Machine Learning information

See Utah salary details

$46.9K

$145.1K

$179.3K

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

As of Jul 9, 2026, the average yearly pay for product manager machine learning in Utah is $145,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $179,300.00 per year, depending on experience, location, and employer.

What is the AI PM salary?

The salary for a Product Manager specializing in Machine Learning typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, often including bonuses and stock options. Strong knowledge of AI tools and data-driven decision-making are common requirements for this role.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with significant experience and leadership responsibilities.

How does a Product Manager specializing in 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 does a machine learning product manager do?

A machine learning product manager oversees the development and deployment of AI and machine learning products, coordinating between data scientists, engineers, and stakeholders. They define product requirements, prioritize features, and ensure that machine learning models meet business goals and performance standards, often using tools like data analysis and model monitoring platforms.

What does a Product Manager for 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.

Which 3 jobs will survive AI?

Product Managers in machine learning will continue to be essential as they oversee AI projects, coordinate teams, and ensure alignment with business goals. Roles requiring complex problem-solving, creativity, and human judgment—such as data scientists and AI ethics specialists—are also likely to persist. These jobs demand skills that are difficult for AI to fully replicate, including strategic thinking and interpersonal communication.

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 the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?

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.
What are popular job titles related to Product Manager Machine Learning jobs in Utah? For Product Manager Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Utah look for? The top searched job categories for Product Manager Machine Learning jobs in Utah are:
What cities in Utah are hiring for Product Manager Machine Learning jobs? Cities in Utah 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 Utah as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $145,118 per year, or $69.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

Pluralsight, LLC

Draper, UT • On-site

$160K/yr

Other

Medical, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Job Description:

A Machine Learning Engineer helps our learners discover content that is relevant to their interests and goals, providing them with experiences tailored just to their needs, and ensure they are receiving the right communication and assistance with their journey at the right time. They develop robust, scalable production machine learning algorithms and recommendation systems.

Who you're committed to being:

  • You enjoy learning and are open to new ways of doing things.

  • You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns.

  • When communicating you are self-aware, insightful, and proactive.

What you'll do:

  • Work closely with Data Scientists to take prototype algorithms and models and turn them into customer-facing solutions

  • Build solutions to novel problems in software development, data engineering, and machine learning

  • Build data pipelines; transform and convert data streams into structures needed for algorithm input

  • Collaborate with Product Managers and UX Designers to better understand the customer, provide valuable input into functional design and usability

  • Evaluate the efficiency of user experiences and ML algorithms, determining what data is needed and how to collect it, with an understanding of how these metrics are connected with the desired outcomes

Experience you'll bring:

  • Experience building production machine learning systems services as part of a product development team

  • Experience in Python, TensorFlow, and proficiency in data structures and database fundamentals

  • Experience building good code with speed and efficiency and balancing the trade-offs of quality vs speed

  • Ability to explain machine learning solutions to developers and other team members, regardless of their technical background

  • Experience working with continuous integration and delivery

  • Familiarity with cloud platforms and deploying ML models as scalable services

  • Experience with containerization and orchestration tools such as Docker and Kubernetes

  • Knowledge of software design patterns and best practices, including RESTful API design

  • Ideal experience in using machine learning in the context of recommendations and/or personalization.

  • Experience with Node and Typescript preferred

Requirements:

  • Requires a minimum of 5 years of related or equivalent experience; or 3+ years with an advanced degree

  • This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Why you'll love working here:

  • We work in a blended environment that supports collaboration, flexibility, and connection across teams.

  • We are mission-driven, shaping the future of tech upskillling and delivering impact that matters.

  • We foster a culture of inclusion and belonging, where everyone can contribute and thrive.

  • We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.

  • Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.

About us:

Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today's tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster.

Physical Requirements:

This role is primarily performed in an office or home office setting and involves standard computer-based work.

EEOC & Accommodations Statement:

Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws.

If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report.

Pay Transparency:

The annual US base salary range for this role is $121,600 - $160,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply.

Applications must be submitted within 90 days after the initial posting date to be considered.

Recruiting Scam Notice:

Please be aware of recruiting scams. We'll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.

#LI-DB1

Apply