Vice President of Platform Product Management

Position Information

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

Compensation

Base pay is anticipated to be between $183,249.00 and $230,000.00 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

In this US-based position your location will be remote.

Travel

You can also expect up to approximately 30% 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
• Lifetime 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

Other Duties as Required

Own the platform product strategy and multi-year roadmap. Aligning it to portfolio needs, business priorities, and the company's AI direction. Define and manage the API, data, identity, and integration surfaces that product teams depend on. Treat internal teams as customers with real SLAs and clear contracts. Lead platform product managers. Set direction, coach, and build a high-performing team that operates with technical depth and product judgment and exercise judgment about where AI incrementally improves a practice and where it should transform it entirely. Use AI to improve your own product practice, from discovery to spec to decision-making, and set the standard for what AI-native product leadership looks like. Partner with Engineering leadership on architecture decisions, build-vs-buy calls, and delivery planning. Drive the platformization of shared AI capabilities so product teams can build curriculum-grounded features without rebuilding foundations each time. Establish platform metrics that matter: adoption by product teams, reliability, delivery velocity gained, cost efficiency, and reduction in duplicated work. Manage dependencies across product lines. Sequence platform investments so they unblock the highest-priority product outcomes. Represent platform strategy to executive leadership. Communicate roadmap, risk, and progress clearly. Enforce data governance, privacy, and security requirements (FERPA, COPPA) at the platform layer so downstream products inherit strong defaults.

Experience, Education, and Qualifications Essential for Success

• Bachelor's degree required.
• Technical or advanced degree a plus.
• At least 12 years in product management, with at least 5 years leading product teams.
• Prior platform, infrastructure, or developer-facing product ownership required.
• Demonstrated track record of delivering complex technical solutions at scale. You have shipped systems other teams built on, not just end-user features.
• Demonstrated experience working AI-natively as a product leader, using AI to improve personal practice, team workflows, and product outcomes and a track record of redesigning team processes and operating models around AI capabilities.
• Experience shipping AI-forward products or platforms in production, with real users preferred.
• Strong technical fluency. You can engage credibly with engineers on architecture, APIs, data models, and system tradeoffs.
• Experience building and running APIs, data platforms, identity, or shared services as products with internal customers.
• Familiarity with AI/ML systems and how to expose them as reusable platform capabilities.
• Proven ability to lead through influence across a matrixed organization and manage competing product-line demands.
• Experience coaching and growing product managers into a strong team.
• Excellent communication skills, including the ability to make technical strategy legible to executives.
• Experience in EdTech, regulated data environments, or K-12 preferred.
• Working knowledge of student data privacy (FERPA, COPPA) a plus.
• Ability to travel up to 30%.