AI Product Owner Jobs in Massachusetts
AI Product Owner jobs in Massachusetts are among the most active in the country, concentrated in enterprise software, financial services, healthcare technology, and biotech, with openings from associate product manager through director-level roles. Boston, Cambridge, and Waltham are the primary hiring centers, where established employers like MathWorks, Fidelity Investments, and Mass General Brigham regularly staff ai product owner positions. The most in-demand specializations include ML platform ownership, clinical AI product management, and generative AI roadmap leadership. Find a role that fits below and apply directly.
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Evolv Technology is looking for a Director of Product, AI, a senior individual contributor who will work at the center of our AI engineering and research teams to build the industry's best weapons detection and computer vision capabilities. You will get deep into the mechanics of how we collect data, define annotation standards, evaluate models, run field trials, and deploy detection systems into the real world, translating that work into product decisions to keep people safe.
You will embed directly with AI engineering as the product lead for our detection capabilities, operating with the technical depth to make and defend decisions about data, models, and evaluation methodology.
What Winning Looks Like
In the first 30 days, you will: Pressure-test how we collect data, set annotation standards, evaluate models, and run field trials. Come back with a sharp read on the biggest gaps, risks, and decisions, and a plan to move on them.
Within 90 days, you will: Ship a prioritized data collection strategy across the scenarios and threats that matter most. Lock annotation, dataset quality, and validation standards with AI engineering. Define the release-readiness bar, including accuracy, false positive/negative rates, latency, throughput, and real-world load, then get alignment on it. Turn field-trial results into real product and model decisions. Build the operating cadence and decision framework that keeps detection performance moving.
Within 6 months, you will: Own detection. You're the accountable product lead driving data priorities, model evaluation, release readiness, trade-offs, in lockstep with AI engineering and research. Shape the roadmap, balancing performance against latency, compute cost, hardware limits, and customer experience. Make sure every external claim about detection performance is accurate and defensible, and push hard with legal and compliance to get there.
By the end of the first year, you will: Demonstrate measurable improvement in detection performance and release predictability across priority use cases. Show that the operating mechanisms you established are consistently identifying performance gaps, driving timely decisions, and improving deployed models. Influence the longer-term detection roadmap through clear evidence about customer needs, technical trade-offs, and business impact.
What you’ll own
AI/ML Lifecycle Ownership
- Define data collection strategy: what scenarios, environments, and threat types need more or better training data
- Own annotation guidelines in partnership with AI engineering
- Partner with AI engineering on training methodology and validation approach
- Define and own model evaluation metrics specific to weapons detection (false positive/negative rates, detection latency, throughput under real-world load) and the standards for when a model is ready to ship
- Design and run field trials with prospects and customers; use real-world trial results for product iteration
Product & Technical Strategy
- Collaborate closely with AI researchers and engineers to define product vision and technical roadmaps
- Evaluate diverse AI models and technical approaches to select the optimal solution for specific security challenges
- Analyze trade-offs across latency, accuracy, compute cost, and hardware constraints, and make explicit decisions
- Oversee feature development from early experimentation through full production deployment
- Work with design and product teams to integrate AI capabilities into intuitive customer- and operator-facing workflows
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Partner with legal/compliance on how detection performance is represented externally to customers and the market
- 8+ years of product management experience, including ownership of AI, machine learning, or computer vision products from strategy through production
- Experience bringing AI or computer vision systems to production in security, safety-critical, or other detection applications where accuracy and reliability matter
- Strong understanding of AI and computer vision architectures, model evaluation, data pipelines, and technical trade-offs
- Experience defining data collection, annotation, validation, and dataset quality standards
- Experience deploying and improving ML systems on physical or edge hardware
- Track record of leading cross-functional decisions across research, engineering, field operations, legal, and customer-facing teams
- Ability to translate technical complexity and business constraints into clear product decisions and priorities
- Experience designing field trials and using customer and performance data to inform product and release decisions
Bonus points: experience with regulatory/compliance considerations around representing AI performance externally; embedded or edge hardware background; time spent in physical security, public safety, or critical infrastructure.
Leadership, Team Structure & Culture
You will report directly to the Chief Product Officer and operate as an individual contributor within the Product organization. This role will work closely with cross-functional partners and require travel to customer sites and field-trial locations to gather insights, support testing, and help translate real-world needs into product decisions.
The team's culture is high-accountability, candid, and action-oriented: risks are surfaced early, decisions are driven to closure, and individuals are expected to take ownership of outcomes. You will have meaningful autonomy and visibility, with the opportunity to directly influence Evolv’s product strategy and execution.
Where is the role located?
Our ideal candidate is based out of Evolv’s HQ in Waltham, Massachusetts, with limited flexibility for remote work. We may consider exceptional candidates who are based elsewhere. Domestic travel is expected to be approximately 25% to customer sites and field-trial locations.
Compensation and Transparency Statement
The base salary range for this full-time position is $162,000- $258,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate’s skills, experience, education, and geographic location.
In accordance with state and local pay transparency laws—including those in California, Colorado, Massachusetts, New York, New Jersey, and others—we disclose salary ranges in all job postings and provide additional information upon request.
We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values.
Benefits
At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who:
- Do the right thing, always;
- Put people first'
- Own it;
- Win together; and continue to
- Be bold, stay curious.
Our Benefits Include:
- Equity as part of your total compensation package
- Medical, dental, and vision insurance
- Health Savings Account (HSA)
- A 401(k) plan with company match
- Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind
- Quarterly stipend for perks and benefits that matter most to you
- Tuition reimbursement to support your ongoing learning and development
- Subscription to Calm
Evolv Technology (“Evolv”) is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics.
Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at careers@evolvtechnology.com.
Evolv participates in E-verify for all employees after the completion of Form I-9.
See All 38 AI Product Owner Jobs in Massachusetts
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Where Massachusetts roles are concentrated, by current openings.
AI Product Owner Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Insurance
- Staffing & Recruiting
- Electronics & Hardware
- Banking & Financial Services
What Massachusetts Employers Look For
The qualifications that appear most often in AI product owner jobs across Massachusetts.
- Bachelor's degree in computer science, engineering, or a related technical field
- Demonstrated experience owning AI or machine learning product roadmaps end to end
- Proficiency with agile frameworks and tools such as Jira or Azure DevOps
- Ability to translate model outputs and data science work into business requirements
- Experience collaborating with data scientists, ML engineers, and cross-functional stakeholders
- Familiarity with responsible AI principles, model governance, and regulatory compliance requirements
AI Product Owner Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai product owner in Massachusetts?
There is no state-issued license required to work as an ai product owner in Massachusetts. Most employers expect a bachelor's degree in computer science, data science, engineering, or a related field, along with hands-on product management experience in a technical environment. A Certified Scrum Product Owner credential or a Professional Scrum Product Owner certification strengthens applications considerably in the Massachusetts market, particularly at enterprise technology and healthcare AI firms.
Which companies hire ai product owners in Massachusetts?
Employers hiring ai product owners in Massachusetts right now include State Street, Whoop, and Humana, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of financial services firms, health systems, and defense technology contractors makes it one of the more consistent markets for this role year-round.
Which Massachusetts cities have the most ai product owner jobs?
Boston, Waltham, and Cambridge lead Massachusetts in ai product owner openings. Boston and Cambridge anchor the market through their dense clusters of biotech, health tech, and fintech employers, while Waltham draws demand from the Route 128 corridor's established enterprise software and defense technology companies, which have staffed product and technology teams in that suburban ring for decades.
Are there remote ai product owner jobs in Massachusetts?
Yes, and more than most fields. About 64% of ai product owner openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting how much of this work happens in digital collaboration tools rather than on a physical site. Strategic roadmap work, stakeholder alignment, and backlog management are the parts of the role most commonly performed fully remote.
How can I get hired as a ai product owner in Massachusetts with little or no experience?
The most realistic entry path is through an adjacent role such as business analyst, data analyst, or associate product manager at a Massachusetts technology or healthcare company, then transitioning once you have direct exposure to AI or ML projects. Employers like Philips Healthcare, Liberty Mutual, and State Street run rotational technology programs and associate PM tracks that accept candidates with limited product experience. Completing a recognized product management certification and building a portfolio that includes an AI-adjacent case study gives early-career candidates a concrete edge in Massachusetts interviews.
Where can I find and apply to ai product owner jobs in Massachusetts?
You can find and apply to ai product owner jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings updated regularly. Search the listings, find roles that match your background and location preference, and apply directly to the employers posting them.
See All 38 AI Product Owner Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI Product Owner Jobs