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Product Manager Machine Learning Jobs in Massachusetts

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

... in production. Our work spans statistical modeling, classical machine learning, and modern AI and ... Analysts work with other members of the machine learning team and portfolio managers to translate ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

Established in 1994, Bracebridge manages private investment funds that serve endowments ... Contribute to maintaining existing models and analytic tools in production * Over time, take ...

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All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Massachusetts

Product Manager Machine Learning information

See Massachusetts salary details

$56.2K

$174.1K

$215.1K

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

As of Aug 3, 2026, the average yearly pay for product manager machine learning in Massachusetts is $174,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,000.00 and $215,100.00 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 Massachusetts? For Product Manager Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Massachusetts look for? The top searched job categories for Product Manager Machine Learning jobs in Massachusetts are:
Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $174,090 per year, or $83.7 per hour.

Manager, Machine Learning on Orbit

Boston Dynamics

Waltham, MA • On-site

$187K - $275K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

Boston Dynamics is building the world's most advanced robots. The Spot quadruped robot performs inspections on thousands of sites around the world, helping customers to inspect, operate and optimize their industrial facilities.
We are seeking a highly experienced and motivated Manager, Machine Learning to support our Orbit team. Boston Dynamics is uniquely positioned to capture millions of multimodal datapoints from within industrial environments. This data feeds into the Orbit intelligent automation platform, coordinating robot fleets on hundreds of sites today.
In Orbit, we're building a foundation model with leading zero-shot performance on common industrial inspection tasks. In this role you will have the opportunity to design, build, and continuously improve Orbit's machine learning systems.
In this role you will:
  • Be a lead on a team of ~5 machine learning engineers.
  • Research, prototype, and deploy models leveraging multimodal data from robotic sensors to extract useful site information - anomalous machine states, object classification, etc.
  • Establish effective methods of evaluating inspection model performance.
  • Curate datasets to be used in model training, fine-tuning and evaluation.
  • Identify and employ model performance improvement strategies - e.g. fine tuning, model selection, and prompt engineering.

You will be a part of the Spot Applications Organization. Here you will work alongside full stack engineers and in close coordination with product management and design. You will be supported by ml platform engineers, and collaborate with researchers across Boston Dynamics.
We are looking for:
  • BS and 10+ years of experience, or MS and 7+ years of industry experience in Computer Science, Machine Learning, Robotics, or a related field.
  • Expert-level software development skills, particularly in python, with a strong command of software architecture, design patterns, and performance optimization techniques.
  • Experience training, fine tuning, and applying state of the art generative ai models. Preferably focused on computer vision tasks.
  • Experience with common ML tools (CUDA, pytorch), architectures and workflows.
  • Ability to track the current state of the art, and identify opportunities for product applications.
  • A willingness to dive deep into challenging problems in computer vision, develop creative customer-focused solutions in collaboration with teammates, and clearly communicate findings.

The salary or hourly pay range for this position will be clearly stated in the job posting as required by Massachusetts law. The base pay range for this position is between $187,580- 275,117. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

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