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Product Manager, AI Hybrid Remote, Boston, MA Product Manager, AI

Imagine Learning

Remote · Boston, MA · $129k–$200k a year · Posted October 31, 2026

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Where Boston, MA ranks

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Pay compared with the market

This listing pays about $164,670 a year. Across 289 open product manager listings that state pay, the middle half runs $133,000 to $227,000 and the median is $170,000. That is inside the middle half of those listings, 3% below the median.

Listed pay is what employers advertise, not what people are paid.

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How AI is used in this kind of work

Among marketing managers, AI is already used for a large share of the tasks. Measured exposure for marketing managers: 32% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Description Position at Imagine Learning

Great Purpose. Great People. Great Opportunities.

At Imagine Learning, we Empower Potential - in students, educators, and each other. As the leading provider of digital-first K–12 curriculum solutions, we’re committed to igniting learning breakthroughs that spark curiosity, creativity, and confidence. Every day, our team designs innovative tools that help educators personalize instruction and engage students in meaningful ways. We’re shaping the future of learning through our Curriculum-Informed AI™ approach - technology that understands instructional context, respects educator judgment, and transforms how teachers personalize learning at scale to unlock each student’s potential. Together, we’re reimagining what’s possible and transforming education .

That same spirit of innovation and purpose drives our team culture. At Imagine Learning, you’ll find opportunities for meaningful work, continuous growth, and connection with passionate colleagues who care deeply about making a difference. We celebrate collaboration, embrace change, and believe in lifelong learning - for our students and ourselves.

Imagine Learning offers flexible work arrangements across the U.S. and internationally. U.S.-based employees located in or around Tempe, AZ (HQ), Austin, TX, Petaluma, CA, Rock Rapids, IA, or Stamford, CT, typically work on a hybrid schedule at one of our office locations.

Imagine Your Impact .

Come help us explore what’s possible with AI-powered research and development in education. We’re building a small, entrepreneurial team with room to experiment, big problems to solve, and a shared drive to make a difference. You’ll dig into emerging technology, turn ideas into working prototypes, and learn alongside colleagues who are as curious and committed as you are. We’re looking for people who take initiative, bring energy to hard problems, and care about seeing the work through. If you’re excited to go deep on AI, share what you discover, and move quickly with a team that builds and learns together, you’ll have a hand in shaping this work from the start. Bring your curiosity, your ideas, and your determination to make things better for students and educators.

The Product Manager helps Imagine Learning discover what AI can make possible in education and owns the experience design of proof-of-concept applications. On a small, co-located R&D team, this hands-on role turns uncertain opportunities into compelling prototypes and informed decisions. We seek a builder with a strong design aesthetic who wants to improve learning. Success requires curiosity, comfort with ambiguity, close collaboration, and rapid iteration without losing sight of design quality.

For more information on what it’s like to work at Imagine Learning, including our culture, benefits, and products, visit us HERE .

To learn more about a typical applicant journey at Imagine Learning, click HERE .

Position Information : This is a regular, full-time position , reporting to the SVP Product Management, AI, and Data .

Compensation : Base pay is anticipated to be between $ 129,339.00 and $ 200,000.00 per year. Eligible employees may also receive incentive/commission/annual bonus pay based on individual and/or company performance. Compensation may vary based on factors such as, but not limited to, individual skills, experience, training, education/certifications, geographic location, internal equity, and local market conditions.

Location: This US-based position is hybrid, and a coworking space will be provided in the Boston, MA area.

Travel: This role may require limited travel of approximately 10% or less, with occasional travel to Connecticut and, less frequently, Tempe, Arizona. Be sure you have a valid driver’s license, automobile insurance, and a clean driving record for at least the preceding 39 months.

Benefits: I magine Learning provides a comprehensive benefits program to eligible employees, including:

Multiple health, dental, and vision plans, including medical plans with zero employee premiums

401k plan with a company match

16 paid holidays, which include 2 floating holidays and a winter shutdown from Christmas Eve through New Year’s Day

Paid Time Off

Comprehensive m aternity and f ertility /family building benefits

Paid bonding leave when a new child joins your family

Access to on-demand mental health resources

Life and short and long-term disability insurance

Pre-tax savings plans

Paid volunteer time off

A wide variety of professional development programs, including tuition reimbursement

Work from home opportunities that foster work/life balance

Envision Your Experience .

In this role you’ll have the opportunity to:

Frame open-ended opportunities as user problems, testable hypotheses, and focused experiments; identify the assumptions that matter most.

Conduct interviews, observation, and usability research; translate findings into clear experience requirements and product decisions.

Own proof-of-concept experience design, including flows, interaction patterns, visual hierarchy, and polish; set and uphold a high bar for design excellence.

Build and revise working prototypes with AI development tools; collaborate directly with engineers to move quickly from an idea to user feedback.

Define evaluations and benchmarks with engineering and research partners; use representative tasks, scoring rubrics, and comparisons to assess quality and progress.

Prioritize a changing experiment backlog; use user feedback, evaluation results, and costs to decide what to build, revise, or stop.

Combine qualitative feedback, product analytics, and technical findings into recommendations on feasibility, product direction, and potential demand.

Collaborate daily across disciplines, make tradeoffs explicit, and incorporate accessibility and responsible use into rapid design and development cycles.

Other duties as required.

Share Your Expertise .

Experience, education, and qualifications essential for success in this