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Data Science Product Manager Jobs in Utah (NOW HIRING)

Technical Product Manager, AI

Lehi, UT ยท On-site

$156K - $181K/yr

As a Technical Product Manager at Pattern Labs, you will bridge the gap between complex AI ... Collaborate closely with engineering, data science, and AI research teams to design, build, and ...

Senior Growth Product Manager

Lehi, UT ยท On-site

$118K - $156K/yr

Finance & Data Science to quantify business impact What You Need to Succeed * 5+ years of Growth Product Management experience, with significant focus on experimentation-driven optimization. * Proven ...

Technical Product Manager, AI

Lehi, UT ยท On-site

$156K - $181K/yr

As a Technical Product Manager at Pattern Labs, you will bridge the gap between complex AI ... Collaborate closely with engineering, data science, and AI research teams to design, build, and ...

Senior Data Scientist

Lehi, UT ยท On-site

$133K - $213K/yr

Foster strong collaboration with product managers, engineers and designers to align data science initiatives with product goals. * Employ innovative and forward-thinking approaches to identify and ...

Data Scientist

Lehi, UT ยท On-site

$90 - $130/hr

Experience applying AI or machine learning to practical business, product, or customer use cases * Exposure to R or other data science and statistical tools * Experience with Power BI, Tableau, or ...

Overview Our International, Open Banking, Product Value Proposition Team is looking for a Senior ... Role As an individual contributor working within a growing data science team, you will take ...

Data science software developer

Murray, UT ยท On-site

$124 - $171/hr

Collaborating with team members, product owners and other stakeholders to build world class deep ... To improve the onboarding experience, you will have an opportunity to meet with your manager and ...

The Product Manager, AI will help shape and scale Berkadia's standalone AI application into an ... Experience partnering with data scientists, machine-learning engineers, software engineers ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... management, and operational efficiency. * Partner with business, product, marketing, digital, risk ...

Overview Our International, Open Banking, Product Value Proposition Team is looking for a Senior ... Role As an individual contributor working within a growing data science team, you will take ...

Work with a cross-functional team of designers, writers, software engineers, data scientists ... Use your experience in product management to work on new cutting-edge and innovative solutions

The Product Manager, AI will help shape and scale Berkadia's standalone AI application into an ... Experience partnering with data scientists, machine-learning engineers, software engineers ...

... Product Managers) to deploy AI models into scalable cloud production environments. Required Qualifications * Experience: 3+ years of professional experience in Data Science, Machine Learning, or ...

Data science software developer

Murray, UT ยท On-site +1

$124K - $170K/yr

Collaborating with team members, product owners and other stakeholders to build world class deep ... To improve the onboarding experience, you will have an opportunity to meet with your manager and ...

Data science software developer

Murray, UT ยท On-site +1

$124K - $170K/yr

Collaborating with team members, product owners and other stakeholders to build world class deep ... To improve the onboarding experience, you will have an opportunity to meet with your manager and ...

Showing results 21-40

Data Science Product Manager information

See Utah salary details

$46.9K

$145.1K

$179.3K

How much do data science product manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science product manager 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 a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Science Product Manager jobs in Utah?

For Data Science Product Manager jobs in Utah, the most frequently searched job titles are:

Infographic showing various Data Science Product Manager job openings in Utah as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $145,118 per year, or $69.8 per hour.

Technical Product Manager, AI

Pattern

Lehi, UT โ€ข On-site

$156K - $181K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces-including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek's Global Most Loved Workplacesยฎ.
As a Technical Product Manager at Pattern Labs, you will bridge the gap between complex AI technology and strategic business value. Operating with an entrepreneurial mindset, you will drive product innovation by turning cutting-edge AI capabilities into actionable, scalable marketplace solutions. This high-impact role empowers you to work closely with key stakeholders to reshape how global brands dominate e-commerce through intelligent systems.
What is a day in the life of a Technical Product Manager?
  • Translate business goals and stakeholder needs into clear technical product requirements and systems architectures.
  • Collaborate closely with engineering, data science, and AI research teams to design, build, and deploy AI-driven products.
  • Continually explore, evaluate, and integrate emerging AI tools and workflows into the Pattern Labs ecosystem.
  • Define and track key performance metrics to evaluate product performance and drive continuous optimization.
  • Communicate complex technical concepts and AI roadmaps clearly to both technical teams and business stakeholders.

What will I need to thrive in this role?
  • Strong technical background with a deep understanding of software systems, data architecture, and modern tech stacks.
  • Proven experience in technical product management, successfully bridging business strategy and technical execution.
  • A deep passion for artificial intelligence, machine learning, and a drive to continuously learn and apply new AI technologies.
  • An entrepreneurial mindset-proactive, resourceful, agile, and ownership-driven.
  • Excellent communication and stakeholder management skills to align business goals with technical capabilities.

What does high performance look like?
  • Execution & Completion: Consistently delivers robust, scalable technical product features on schedule while driving practical AI adoption within the platform.
  • Execution & Completion: Successfully converts ambiguous stakeholder needs into clearly defined, high-impact technical solutions and specs.
  • Team Impact: Acts as an effective bridge between technical and non-technical teams, elevating the team's overall technical standard and AI fluency.
  • Team Impact: Champions a culture of rapid experimentation, continuous learning, and action-oriented problem solving across Pattern Labs.

What is my potential for career growth?
  • Opportunity to lead foundational AI initiatives at one of the fastest-growing e-commerce acceleration platforms.
  • Exposure to executive leadership and key cross-functional stakeholders across the business.
  • Direct trajectory toward senior product leadership roles within Pattern Labs and the broader product organization.
  • Continuous hands-on exposure and skill expansion in frontier AI technologies and machine learning architectures.

What does success look like in the first 30, 60, 90 days?
  • 30 Days: Develop a comprehensive understanding of Pattern's data architecture, current AI capabilities, and Pattern Labs' product roadmap; establish key working relationships with stakeholders and engineering leads.
  • 60 Days: Take ownership of key technical product backlogs, refine existing specs, and actively lead sprint planning and feature scoping for upcoming AI initiatives.
  • 90 Days: Successfully launch an AI-driven product feature or system enhancement; present a multi-quarter technical roadmap for Pattern Labs aligned with broader strategic business goals.

What is the team like?
This role reports directly to the Director of AI Research. You will be joining a growing team of AI researchers, data scientists, and engineers in the Pattern Labs department. In this role, you will collaborate closely with Software Engineers, Data Scientists, and Senior Product Managers as well as other departments including Engineering, Executive Leadership, Strategy, and Operations. This position is mentored by the Director of AI Research & Development.
Sounds great! What's the company culture?
We are looking for individuals who are:
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern's processes and outcomes.
  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner's expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.

What is the hiring process?
  1. Phone Interview
  2. Video Interview
  3. Technical Review
  4. Reference Checks
  5. Executive Review
  6. Offer

How can I stand out as an applicant?
  • Strong Nice-to-Haves:
  • Hands-on experience building or managing products utilizing Generative AI, LLMs, or agentic frameworks.
  • Experience founding a startup, side project, or leading an entrepreneurial venture from 0 to 1.
  • Experience with high-scale e-commerce marketplaces or data infrastructure systems.
  • Interview Tips:
  • Highlight real-world side projects, personal AI experiments, or practical applications of modern AI tools you've explored on your own time.
  • Demonstrate how you translate complex stakeholder pain points into clean, structured system architectures and product requirements.
  • Share concrete examples of when you took an entrepreneurial approach to solve an ambiguous business or technical problem.

Why should I work at Pattern?
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
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.