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Product Manager Machine Learning Jobs in Oregon (NOW HIRING)

Upstart

Senior Manager, Machine Learning

OR · Remote

The Team Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager ... Take ownership of a specific product area (like Cash Line or Auto) and serve as the de facto ML ...

Instacart

OR

You will help design and build end-to-end machine learning solutions. * You will be working in ... You will work closely with engineers, product managers, other teams, and both internal and external ...

BetterHelp

OR

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to ...

Netflix

OR

$400K - $640K/yr

We are seeking a Product Manager with strong understanding of machine learning and expertise in AI innovation and technology to lead strategic initiatives that will transform our internal tools and ...

Instacart

OR · On-site

We build rich product and knowledge graphs from catalog data imported from hundreds of retailers ... Working on graph data management and knowledge discovery over one of the world's largest grocery ...

Netflix

OR

$523K - $920K/yr

... improve production ML services. Passionate about leading teams through ambiguous and complex ... Master's or PhD in Machine Learning, Computer Science, or a closely related field. 6+ years of ...

Instacart

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 ...

New

phData

OR

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 ...

OneStudyTeam

Senior Machine Learning Engineer

OR · Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... Collaborate across teams of data scientists, product managers, designers, engineers, and domain ...

Intel

Machine Learning Engineer

Hillsboro, OR

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Ability to produce production-quality implementations of novel research ideas, balancing rigor with ...

Cotiviti

Products within this space leverage rules-based detection, machine learning models, and integrated case management workflows to identify suspect provider behavior, support investigations, and drive ...

iHerb

OR

$134K - $180K/yr

... and products to simplify and enhance the customer experience and to automate core business ... The Machine Learning Engineer will partner closely with Data Scientists, Applied Scientists, and ...

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All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Oregon

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 Jul 15, 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 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 Oregon? For Product Manager Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Oregon look for? The top searched job categories for Product Manager Machine Learning jobs in Oregon 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:
Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $168,536 per year, or $81 per hour.
Senior Manager, Machine Learning

Senior Manager, Machine Learning

Upstart

OR • Remote

Other

Re-posted 10 days ago

Job description

The Team 

Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager to join our leadership group. Because our ML teams share common codebases and modeling pipelines, we are searching for generalist ML leaders who can be deployed to the areas of our business where they will have the most impact.

Rather than hiring for one specific silo, we match candidates to the right team based on their unique background, technical strengths, and interests. Depending on your expertise, you could step in to lead one of several high-priority teams, such as:

  • Cash Line: Leading the 01 ML innovation for our brand new subscription-based line of credit, building core underwriting and customer behavior models (churn, draw, default) in a domain with limited data and long feedback loops.
  • Auto Retail Lending (ARL): Tackling unique, deep-modeling challenges such as competing risk, collateral, and recovery modeling for dealership-based auto lending.
  • Underwriting: Managing MLE-heavy engineering and research efforts to optimize our core unsecured personal loan models.

This is a highly technical player-coach role. You will not be managing a massive organization; instead, you will lead a small, nimble team of individual contributors (Research Scientists, Data Scientists, or Machine Learning Engineers). This role is designed for a builder who wants to retain meaningful strategic scope, maintain a roughly 50/50 split between technical execution and management, and act as the definitive ML owner for their product space.

How you'll make an impact:

  • Act as a Player-Coach: Dive deep into the data and code. You will spend a significant portion of your time making direct technical contributions, reviewing code/PRs, and understanding the mathematical nuances of your team's models.
  • Lead Strategic Initiatives: Take ownership of a specific product area (like Cash Line or Auto) and serve as the de facto ML leader in cross-functional strategy meetings.
  • Drive 01 and Scaling ML Efforts: Depending on your team placement, you may build out entirely new capabilities from scratch or optimize highly mature models dealing with massive scale and shifting macro-economic regimes.
  • Translate Models to Business Impact: Design and refine decision engines that translate model predictions into accurate, transparent, and customer-friendly lending outcomes.

What we're looking for:

  • Minimum Qualifications
    • Experience
      • 6+ years of experience developing and deploying machine learning models in production with direct business impact.
      • Proven track record of leading high-impact ML initiatives from research through productionization.
      • Advanced degree in a quantitative field (e.g., computer science, statistics, economics, operations research, etc).
    • Technical abilities and attitude
      • Strong technical judgment and ability to dive deep into model design, data analysis, and evaluation. 
      • Keen statistical, economic and business intuition, and comfort with reasoning under uncertainty and data limitations.
      • Knowledge of production ML, ability to adapt to new tech stacks and get in the weeds of work output from the team. 
      • Excited and able to make direct technical contributions when needed.
    • Leadership
      • Exceptional leadership skills with experience developing teams of highly technical ML scientists.
      • Attract, mentor, and grow a top-tier team of ML scientists passionate about expanding access to credit.
      • Proven ability to influence and collaborate cross-functionally with Product, Engineering, Capital Markets and other teams.
      • Strong project management skills with experience scaling processes and operational workflows.
  • Preferred Qualifications
    • PhD in Computer Science, Statistics, Economics or a related field.
    • Proven success building and scaling new ML products from inception.
    • Familiarity with lending, lines of credit, or other consumer finance products. 
    • Hands-on familiarity with end-to-end ML infrastructure, including experimentation pipelines, feature stores, and model monitoring. Ability to uplevel team's engineering practices and drive cross-functional engineering design.

Position Location - This role is available in the following locations: US Remote

Time Zone Requirements - This team operates on the East/West Coast time zones.

Travel Requirements - This team has regular on-site collaboration sessions. These occur 3-4 days per quarter at one of our offices. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

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