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Product Manager Machine Learning Jobs in Oregon (NOW HIRING)

As an AI Product Manager, you empathize with our lines of business and identify clear objectives to ... Participate in design sessions to continuously develop and improve the Cotiviti machine learning ...

OR · On-site

$114.40K - $137.40K/yr

... production environments. Key Responsibilities: * Design, develop, train, and fine-tune machine ... Build and manage custom Document AI processors such as Custom Document Splitter, Custom Document ...

... that is production ready . These innovations have been cited in the New York Times, Visual ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

OR

$126.40K - $166.80K/yr

Operating at the intersection of advanced machine learning and human-centric design, you will ... Strategy & Product Lifecycle Management: Define the product roadmap and strategic direction for AI ...

Build scalable, production-quality machine learning workflows and pipelines using cloud ... Experience managing datasets and training workflows within distributed or cloud computing ...

New

... production. In this role, you will lead engineering initiatives that turn high-impact modeling ... This includes building a unified embeddings platform for training, serving, and managing ...

In this role, you will lead the architecture and implementation of production-grade machine ... Proven track record of taking ownership, managing multiple priorities, and delivering high-quality ...

New

As a Principal Product Manager at Upstart, you will define and drive the strategy for one of the ... Partner with engineering, machine learning, and product teams across unsecured, auto, and home ...

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and ... Collaborate with cross-functional hardware, software, and product engineering teams to integrate ...

OR · On-site

You will partner closely with product, engineering, data science, and platform teams to translate ... Experience building and managing end-to-end ML pipelines, including data ingestion, feature ...

OR · On-site

You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests.

TheDigital Product Manager will operate at the intersection ofbusiness strategy, AI product ... Assess how LLMs, AI agents, machine learning models, NLP, automation, knowledge retrieval ...

OR · On-site

$122.40K - $161.30K/yr

Senior Machine Learning Engineer, Data & Intelligence Products AcuityMD is a software and data ... Partner with product managers and cross-functional stakeholders to translate customer problems into ...

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Showing results 1-20

Product Manager Machine Learning information

See Oregon salary details

$54.5K

$168.5K

$208.3K

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

As of May 31, 2026, the average yearly pay for product manager machine learning in Oregon is $168,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,100.00 and $208,300.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Oregon? For Product Manager Machine Learning jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Product Manager Machine Learning jobs? Cities in Oregon with the most Product Manager Machine Learning job openings:
Infographic showing various Product Manager Machine Learning job openings in Oregon as of May 2026, with employment types broken down into 2% As Needed, 59% Full Time, 35% Part Time, and 4% Contract. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $168,536 per year, or $81 per hour.
Artificial Intelligence AI Product Manager

Artificial Intelligence AI Product Manager

Cotiviti

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 hours ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

37th of 203 rated it services


Job description

Overview

We are seeking a passionate, talented, and enthusiastic AI Product Manager to join the AI R&D team and help build industry-leading AI technologies, enabling lines of business with cutting edge and impactful solutions.  Not only would you accelerate the adoption of AI but also push the boundaries of advanced ML and Generative AI techniques at scale.

Responsibilities
  • As an AI Product Manager, you empathize with our lines of business and identify clear objectives to formulate the problem.
  • Work backwards from our customers to create a compelling product vision and a product strategy to solve complex business problems.
  • Own the AI product roadmap and prioritize features to ensure your MVPs quickly add value.
  • Manage the lifecycle of AI products and work independently with engineers, scientists, doctors/nurses and other stakeholders on defining, building, and delivering the right products.
  • You are data driven and influence our business strategy and technical priorities with that vision.
  • You keep all your stakeholders up to date on your products and capabilities roadmap.
  • You independently represent the products and the team, and are comfortable communicating with executives as well as with business and technical stakeholders.
  • Dive deep with business lines to identify and understand the and think big to build scalable products.
  • Use data driven methods to understanding and test assumptions.
  • Deliver products on time with the right feature set and high quality.
  • Evangelize our AI products and drive adoption.
  • Think through all aspects of your products' life cycles, incl. business, technical, legal, and marketing.
  • Create a healthy and cohesive learn it all culture that binds all aspects of product.
  • Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.
  • Work with production operations to deploy your model into production and support them in monitoring model performance.
  • Participate in other data science teams collaborating with your peers to support their projects.
  • Participate in knowledge sharing sessions to bring new insights and technologies to the team.
  • Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
  • Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
  • Complete all responsibilities as outlined in the annual performance review and/or goal setting
  • Complete all special projects and other duties as assigned. 
  • Must be able to perform duties with or without reasonable accommodation. 

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. 

Qualifications
  • Bachelor's degree, or an equivalent combination of education and experience, required.
  • 7+ years of technical product management experience.
  • Data driven product manager with skills in product requirements that are concise, with clear, measurable success criteria.
  • Effective communication skills, makes smart trade-offs without sacrificing quality, data driven and drive appropriate schedules.
  • Driven and energetic with experience in contributing to AI/engineering discussions combining technology and strategy related to a product.
  • Experience leading cross-organizational programs and setting and holding teams and individuals to timelines and deliverables without explicit authority.
  • Experience communicating technical concepts to non-technical and technical audiences is a plus.
  • Passion for collaboration, learn it all mindset and driving value with AI.
  • Professional with ability to properly handle confidential information.

Mental Requirements: 

  • Ability to work independently as well as collaborate as a team with a sense of urgency.
  • Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
  • Ability to handle multiple tasks, prioritize and meet deadlines.
  • Ability to work within a matrixed organization.
  • Proficiency in all required skills and competencies above.
  • Communicating with others and teamwork.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions: 

  • Flexibility to work with global teams as well as geographically dispersed US based teams.
  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • No adverse environmental conditions are expected.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • Must be able to provide a dedicated, secure work area.

Base compensation ranges from $115,000 to $145,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. 

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 3/30/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 05/30/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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Employment Type: OTHER

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