
Senior Product Manager Education, AI & Professional Development
Colibri Group🇺🇸Remote - 1 Remote$160K–$220K/yri2h ago
Role Snapshot
Sr. Product Manager responsible for end-to-end product strategy and roadmap for Professional Development and AI-driven learning offerings at Colibri Group, with P&L accountability for enrollment, revenue, margin, and learner retention.
Key Responsibilities: Own product strategy, roadmap, and business outcomes; lead AI-driven product innovation translating emerging capabilities into practical learning experiences; manage full product lifecycle from content ideation through delivery and continuous improvement; and drive go-to-market alignment across marketing, sales, and delivery teams.
Skills & Tools: 5–7+ years of product management with proven track record of strategy ownership and business outcomes; strong instructional design expertise and deep understanding of learning theory; cross-functional leadership ability to influence teams without direct authority; P&L ownership including pricing and financial forecasting; and daily applied experience with AI tools, particularly Claude with Model Context Protocol.
Qualifications: Bachelor's degree required; 5–7+ years of product management experience with demonstrated success launching and scaling EdTech or curriculum-based products; must-have instructional design background and proven ability to read customer signals and navigate ambiguous problem spaces. Advanced degree in product management, AI, or professional education preferred; familiarity with real estate professional education a plus.
Location: Remote - 1 Remote
Compensation: $160K–$220K/yr (estimated)
Job Description
What You'll Do::
Own end-to-end product strategy and roadmap for the Professional Development suite and AI Professional Development offerings, with clear accountability for business results (enrollment, revenue, margin, retention, and learner value).
Lead AI-driven product innovation: translate emerging AI capabilities into practical, outcome-oriented learning experiences that are not just conceptual but tool-driven and learner-trusted.
Define and iterate on customer problems, navigate ambiguity, bring clarity to the problem space, and make confident product decisions that deliver meaningful business impact.
Push value across the full product lifecycle — content ideation, production, delivery, and continuous improvement — while elevating instructional design and learner experience.
Own P&L outcomes for the portfolio, including revenue growth, pricing strategy, margin performance, and key metrics such as enrollment, completion, NPS, repeat purchase, and long-term retention.
Master customer signals: build continuous feedback loops, analyze behavioral data and learner insights, and use them to refine strategy and unlock new growth opportunities.
Co-own go-to-market success with marketing, growth, sales, and delivery teams — shaping positioning, packaging, and launch readiness.
Influence without authority across Product, Technology, Content, Marketing, and Delivery functions to align on priorities and deliver scalable results.
Evaluate AI education services for potential acquisition or build (buy-versus-build decisions) and integrate advanced AI tools (including Claude with Model Context Protocol) into workflows.
Ensure responsible, ethical, and effective use of AI in education products, with strong emphasis on quality, reliability, scalability, and learner trust.
What You'll Need to Succeed::
5–7+ years of product management experience with proven ownership of strategy, roadmap, and measurable business outcomes (highest priority).
Demonstrated success launching and scaling education, EdTech, or curriculum-based products.
Must-have instructional design experience and deep understanding of learning theory, interactive course elements, and the full course lifecycle from ideation to production.
Strong cross-functional leadership skills; ability to influence product, content, marketing, and technology teams without direct authority.
Experience owning or materially influencing P&L, pricing, financial forecasting, and business-focused product decisions (growth/business PM orientation, not purely technical).
Proven ability to explore ambiguous problem spaces, read and act on customer signals, and keep the customer at the center of every decision.
Daily applied experience with AI tools in product workflows (especially Claude with integrated data sources and Model Context Protocol / MCP).
Self-motivated ownership mentality; comfortable navigating uncertainty, synthesizing market/performance/customer data, and making high-judgment calls independently.
Bachelor’s degree required; advanced degree or ongoing learning in product management, AI, or professional education preferred.
Familiarity with real estate professional education or career development models is a plus.
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