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Product Manager Machine Learning Jobs in Utah (NOW HIRING)

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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 Sep 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 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 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:

Infographic showing various Product Manager Machine Learning job openings in Utah as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $145,118 per year, or $69.8 per hour.

Machine Learning Engineer

Salt Lake City, UT • On-site

Full-time

Posted 17 days ago


Key responsibilities

  • Build and deploy scalable analytical systems and data science applications.

  • Develop, evaluate, and fine-tune AI models and large language models for specific business applications.

  • Perform systems analysis, interpret findings, and communicate results to improve products such as revenue management and paid search bidding systems.


Extra Space Storage rating

7.0

Company rating: 7.0 out of 10

Based on 165 frontline employees who took The Breakroom Quiz

4th of 29 rated removal and storage companies


Job description

*** Please note that this position is HYBRID, requiring this person to work onsite at our Cottonwood Heights corporate office in Salt Lake City, UT three days a week ***
Job Summary
Responsible to build and deploy advanced analytics systems into production. Responsible for maintaining the environments and software for ongoing maintenance of these systems. Familiar with database structures, statistical modelling, software engineering best practices, and the latest developments in generative AI.
Duties & Responsibilities
• Builds and deploys scalable analytical systems.
• Develops data science proof-of-concept models into production-ready applications. Follows industry standard principles on software development.
• Builds data science applications related to text-based search, and audio & video recordings.
• Uses statistical modeling or A/B testing approaches to evaluate algorithmic improvements to model.
• Executes on technical roadmap for data science products.
• Performs systems analysis, interprets the findings from it and explains the finding to business audience to improve products such as revenue management system, and paid search bidding system.
• Documents assigned aspects of projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
• Develop and optimize prompts for large language models (LLMs), evaluate and fine-tune AI models to achieve desired outcomes for specific business applications.
• Collaborate with various teams to integrate and test data science and AI applications.
Qualifications
• A Master's Degree in computer science, data science, mathematics, statistics, finance, economics, or other engineering
• Requires 3+ years' experience in deploying advanced analytics solutions to drive business outcomes.
Competencies
• Proven analytical skills with data driven decision-making skills.
• Ability to manage large data sets, develop data pipelines.
• SQL programming skills. Python or R programming skills.
• Knowledge of vector databases, embedding models, LLM endpoints.
• Team player with excellent collaboration skills.
• Highly motivated and high level of energy and enthusiasm.
• Prior experience with cloud technologies will be a plus.
Work Environment & Physical Requirements
Performs sedentary work in an office environment with limited lifting (less than 10 pounds) or walking required. Close visual acuity required to perform work at computer terminal. No exposure to adverse environmental conditions. Requires repetitive typing motion, talking, hearing, grasping and feeling.
Disclaimer
The job description outlines the general nature and scope of work employees perform in this role. It's not intended to be an exhaustive list of all duties, responsibilities, or qualifications required for the position. The company reserves the right to modify, revise, or update the job description to meet business needs.
If you are a current Extra Space employee, please apply through Jobs Hub in Workday.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Applications Deadline: Applications will be accepted until the position is filled.

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