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About This Role
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 Bloomington, MN, typically work on a hybrid schedule at one of our office locations. Imagine Your Impact. The Senior Product Manager, AI Initiatives leads the development of AI and machine learning-powered products that drive key business objectives in the field of educational technology. This role bridges data analytics, curriculum, product development, marketing and sales to create innovative learning solutions and is responsible for effective and efficient processes for the use of AI to meet market needs and differentiate our products.
For more information on what it’s like to work at Imagine Learning, including our culture, benefits, and products, visit usHERE.
To learn more about a typical applicant journey at Imagine Learning, clickHERE*.*Position Information: This is a regular, full-time position, reporting to the Director of Product Management, AI Initiatives. Compensation: Base pay is anticipated to be between $119,786 and $169,950 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: In this US-based position your location will be remote.
Travel: You can also expect up to approximately 20% travel, so be sure you have a valid driver’s license and automobile insurance and a clean driving record for at least the preceding 39 months.
Benefits: Imagine 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 maternity and fertility/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:* Solve customer problems by developing AI-powered educational products and leveraging technologies such as natural language processing, computer vision, and large language models.
- Gather and analyze user needs through various methods (interviews, analytics, stakeholder input) to inform product decisions, emphasizing empathy and user-centric thinking in the educational context.
- Research industry trends and competitive landscapes to develop informed backlogs and roadmaps, with a focus on emerging AI technologies in education.
- Build and communicate a product vision and roadmap to diverse stakeholders, balancing multiple product needs and business units.
- Collaborate with engineering teams to plan and prioritize work using agile methodologies, with a focus on outcomes and business value.
- Coordinate cross-functionally with internal teams to develop and launch products, managing dependencies and leading communication with sales and marketing.
- Engage with executive-level stakeholders and represent the team in company-wide planning, using strong communication skills to convey complex AI concepts clearly.
- Other duties as required.
Share Your Expertise. Experience, education, and qualifications essential for success in this role, include:* Master’s degree in Education, Technology, Software Development, or related field, and at least 5 years of product management experience, with a focus on AI and machine learning solutions in education or related fields; or an acceptable combination of education and experience.
- Proven experience building products using AI, including experience with recent advancements in Generative AI/LLMs (fine-tuning, retrieval augmented generation and common prompt engineering techniques).
- Experience building products powered by data, machine learning, artificial intelligence, generative AI, and emerging technologies, including design patterns for collecting human feedback.
- Experience in defining AI-specific data strategies, including data collection, labeling, and synthetic data generation for machine learning models.
- Expertise in defining success metrics and objective criteria, including model performance and educational outcomes.
- Strong background in Agile methodologies, using tools like Jira and Confluence for project management and collaboration.
- Proven ability to manage multiple stakeholders with competing priorities in a fast-paced environment.
- Exceptional communication skills, with the ability to explain complex concepts to diverse audiences.
- Demonstrated ability to balance technical knowledge with user empathy in educational technology products.
- Ability to work independently and within a collaborative team environment.
- Passion for innovative AI applications in education and a desire to make a positive impact in K-12 learning.
- Willingness to travel up to 20% for conferences and field team meetings.
At Imagine Learning, we believe our work is strongest when people feel respected, supported, and encouraged to contribute their unique perspectives. We strive to create a welcoming workplace where employees can learn from one another, grow together, and build educational experiences that reflect the world of our learners.
Imagine Learning is an Equal Opportunity Employer committed to providing equal employment and advancement opportunities to qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, sex (including pregnancy, childbirth, lactation, or related medical conditions), gender identity or expression, transgender status (including whether or not you are transitioning or have transitioned), sexual orientation, marital status, religion (including religion dress and grooming practices), age 40 and over, physical or mental disability, medical condition, genetic information (including results of genetic testing and characteristics), veteran and/or military status, or service in the military, and any other basis or status protected under applicable federal, state, or local laws. To all recruitment agencies: Imagine Learning does not accept agency resumes. Please do not submit candidates for consideration via our online application system, to Imagine Learning employees, or to any other organization location. Imagine Learning is not responsible for any fees related to unsolicited resumes.
Salary Context
This $119K-$169K range is in the lower quartile for AI Product Manager roles in our dataset (median: $194K across 123 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 9,079 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Imagine Learning, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $220,200 based on 947 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $229,300. This role's midpoint ($144K) sits 34% below the category median. Disclosed range: $119K to $169K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
Imagine Learning AI Hiring
Imagine Learning has 1 open AI role right now. They're hiring across AI Product Manager. Based in Remote, US. Compensation range: $169K - $169K.
Remote Work Context
Remote AI roles pay a median of $188,000 across 2,316 positions. About 6% of all AI roles offer remote work.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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