Product Manager - AI
Midvale, UT · Hybrid
The Product Manager, AI will help shape and scale Berkadia's standalone AI application into an ... Familiarity with both traditional machine-learning concepts and modern LLM-based product ...
New
Product Manager - AI
Midvale, UT · Hybrid
The Product Manager, AI will help shape and scale Berkadia's standalone AI application into an ... Familiarity with both traditional machine-learning concepts and modern LLM-based product ...
New
Product Manager - AI
Midvale, UT · On-site
The Product Manager, AI will help shape and scale Berkadia's standalone AI application into an ... Familiarity with both traditional machine-learning concepts and modern LLM-based product ...
New
Product Manager - AI
Midvale, UT · On-site
The Product Manager, AI will help shape and scale Berkadia's standalone AI application into an ... Familiarity with both traditional machine-learning concepts and modern LLM-based product ...
New
Machine Learning Engineer
Salt Lake City, UT · On-site
They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new ...
Machine Learning Engineer
Salt Lake City, UT · On-site
They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
Senior Engineer - Machine Learning
Midvale, UT · Hybrid
$98K - $135K/yr
You will work closely with product, engineering, architecture, and data teams to design, implement ... management, and workflow automation. * Required experience building AI evaluation harnesses to test ...
Senior Engineer - Machine Learning
Midvale, UT · Hybrid
$98K - $135K/yr
You will work closely with product, engineering, architecture, and data teams to design, implement ... management, and workflow automation. * Required experience building AI evaluation harnesses to test ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
Senior Engineer - Machine Learning
Midvale, UT · On-site
$140 - $210/hr
You will work closely with product, engineering, architecture, and data teams to design, implement ... management, and workflow automation. * Required experience building AI evaluation harnesses to test ...
New
Senior Engineer - Machine Learning
Midvale, UT · On-site
$140 - $210/hr
You will work closely with product, engineering, architecture, and data teams to design, implement ... management, and workflow automation. * Required experience building AI evaluation harnesses to test ...
New
Product Manager Machine Learning information
See Utah salary details
$46.9K - $58.9K
0% of jobs
$58.9K - $71K
1% of jobs
$71K - $83K
3% of jobs
$83K - $95.1K
4% of jobs
$95.1K - $107.1K
5% of jobs
$107.1K - $119.1K
5% of jobs
$124.2K is the 25th percentile. Wages below this are outliers.
$119.1K - $131.2K
14% of jobs
$131.2K - $143.2K
5% of jobs
The median wage is $151K / yr.
$143.2K - $155.3K
18% of jobs
$164.4K is the 75th percentile. Wages above this are outliers.
$155.3K - $167.3K
24% of jobs
$167.3K - $179.3K
19% of jobs
$46.9K
$145.1K
$179.3K
How much do product manager machine learning jobs pay per year?
As of Aug 19, 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?
| Aspect | Product Manager Machine Learning | Data Scientist |
|---|---|---|
| Primary Focus | Overseeing ML product development, strategy, and deployment | Analyzing data, building models, and deriving insights |
| Required Skills | Product management, ML understanding, cross-functional collaboration | Statistics, programming, data analysis |
| Work Environment | Product teams, engineering, business stakeholders | Data analysis teams, research, engineering |
| Common Certifications | Product management certifications, ML courses | Data 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:
What cities in Utah are hiring for Product Manager Machine Learning jobs?
Cities in Utah with the most Product Manager Machine Learning job openings:
Job description
Are you looking for an opportunity to make an impact and shape the future of the commercial real estate (CRE) industry?
The Product Manager, AI will help shape and scale Berkadia's standalone AI application into an enterprise platform that enables business units to design, configure, and deploy secure, governed AI-enabled workflows.Â
This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product capabilities. The Product Manager will help establish the reusable platform components, tools, workflows, guardrails, data-access patterns, and user experiences that empower business teams to self-serve within a controlled framework.Â
The ideal candidate combines strong product-management discipline with technical fluency in generative AI, large language models (LLMs), agentic systems, enterprise integrations, and software delivery. They can communicate effectively with both technical teams and business stakeholders, understand the lifecycle of AI-enabled products, and guide the delivery of practical solutions that improve Berkadia's investment sales, mortgage banking, loan servicing, and corporate workflows.Â
Innovation meets excellence at Berkadia, where we give you the space you need to create and allow your ideas to flourish. We are leading the evolution of CRE, and can't do that without innovators who are driven by curiosity and are willing to challenge the status quo as they chart their career path - and Berkadia's future. Be Part of Building the Next. Be Berkadia.
We Innovate to shape the future of CRE, so in this role you will:
Responsibilities:Â
- Champion and reinforce the vision, strategy, and roadmap, and operating model for an enterprise AI platform.
- Strong analytical and problem-solving skills, with the ability to synthesize business, technical, user, and operational inputs into clear product decisions.
- Demonstrated experience managing a software product in an enterprise environment from discovery through release and ongoing iteration.
- Experience as a Product Manager for AI-enabled, generative AI, LLM-based, machine-learning, or agentic products.
- Working knowledge of generative AI application patterns and secure enterprise integration, including prompt engineering, retrieval-augmented generation, tool calling, workflow orchestration, model evaluation, agentic systems, APIs, tool frameworks, and governed access to enterprise data and systems.
- Experience partnering with data scientists, machine-learning engineers, software engineers, solution architects, and business subject-matter experts.
- Familiarity with both traditional machine-learning concepts and modern LLM-based product development is preferred.
- Strong understanding of SDLC and Agile methodologies, including backlog management, iterative delivery, release planning, and cross-functional collaboration.
- Ability to work effectively in a fast-moving environment with ambiguity, competing priorities, and evolving AI technologies.
- Strong written, verbal, facilitation, and stakeholder-management skills.Â
We Stand for Excellence, so to achieve success in this role you should have:
Requirements:
- Bachelor's degree or equivalent practical experience.
- 5+ years of product-management experience, including responsibility for delivering software products in an enterprise environment.
- 2+ years of experience working on AI-specific products or capabilities, such as generative AI applications, LLM-enabled products, AI agents, machine-learning products, or intelligent workflow automation.
- Prior hands-on technical experience in software engineering, data, analytics, machine learning, AI application development, or a related technical field is strongly preferred.
- Experience working with internal enterprise users and translating complex business processes into scalable digital-product experiences.
- Experience supporting products that integrate with CRM, workflow, data, or other enterprise platforms is preferred.Â
We believe People Matter, so we offer benefits that go beyond:
- Monthly paid volunteer hours and donation matching to benefit our communitiesÂ
- Employee Resource Groups that help you grow with us
- Fertility and family planning services Â
- Up to 12-weeks of fully paid parental leave  Â
- Mental health care, including free counseling sessions:Â Â
- We'll help fund your learning journey with generous tuition reimbursementÂ
- Pet insurance discountsÂ
- And more!Â
Be Part of Building the Next. Be Berkadia.Â
#LI-HG1 #LI-HYBRID