Top Edtech Product Manager Jobs in CO

Own and improve the core learner platform to increase learning rate, retention, and engagement at scale. Prioritize an AI-first roadmap, ship AI-assisted features (AI Tutor, AI Grader), define outcome metrics, run experiments, and collaborate with Curriculum, Learning, and Engineering to deliver high-quality, engaging learner experiences.

Own the strategic vision and roadmap for Coursera’s AI-driven search experience. Lead conversational search, personalization, semantic and multilingual search, ranking, and discovery improvements. Partner with engineering, design, research, data science, ML, marketing, and partnerships teams to deliver scalable platform capabilities. Use experimentation, market analysis, KPIs, and customer insights to improve conversion, merchandising, learner experience, and revenue.

Technical Product Manager guides the improvement and integrity of online student and educator applications. Responsibilities include defining and prioritizing features, managing product roadmaps and backlogs, creating user stories and acceptance criteria, coordinating monthly releases, troubleshooting defects, communicating technical dependencies, preparing release notes, and collaborating with Product, UX, Engineering, QA, Content, and Learning Design teams throughout the software development lifecycle.

Lead content strategy and roadmap for business disciplines, manage portfolio P&L, recruit and contract authors, define project scope and timelines, and collaborate cross-functionally to deliver high-quality, career-focused digital learning experiences. Use market research, analytics, and customer insights to drive content updates and platform innovations, while overseeing budgets, schedules, and stakeholder communication.

Own the strategy, requirements, metrics, and user experience for an AI-powered school scheduling optimizer. Partner with engineering on algorithms, model builders, orchestration, experiments, and generative AI capabilities. Engage school customers, define optimization quality measures, communicate tradeoffs, prioritize enhancements, and guide roadmap execution for improved schedule feasibility, quality, and usability.

Own product strategy and outcomes for financial services and data platforms. Lead payments, billing, refunds, financial aid, data quality, analytics, and Microsoft Fabric migration initiatives. Partner with engineering, design, finance, compliance, and internal data users to frame problems, run experiments, prioritize investments, and improve payment success, chargebacks, data quality, Power BI adoption, and self-service analytics.

Own the end-to-end strategy, roadmap, discovery, delivery, and measurement for modules within LINQ’s K-12 School Nutrition platform. Lead customer research, prioritize competing demands, partner with engineering on architecture and technical investments, build business cases, manage dependencies, and serve as the domain subject-matter expert. Mentor product managers and contribute to broader product strategy while connecting decisions to customer and business outcomes.

The AI Product Manager is responsible for strategy and execution of AI solutions, managing product roadmaps, collaborating with teams, and improving AI performance through metrics and user feedback.

Own product discovery, growth, and business outcomes across the full product lifecycle. Responsibilities include market research, customer interviews, product-market-fit validation, positioning, pricing, onboarding, retention, subscriptions, billing, monetization, experimentation, product analytics, and cross-functional process improvement. The role partners with Marketing, Sales, Customer Success, and Operations in a highly autonomous, remote environment.

Owns the strategy, roadmap, requirements, and delivery of data products, analytics capabilities, and data infrastructure. Partners with engineering, architecture, DevOps, and stakeholders to deliver secure, scalable platform features, manage Agile backlogs, define adoption metrics, support incident reviews, and identify AI opportunities. The role also contributes to technical planning, customer escalations, documentation, hiring, and cross-functional initiatives.