Senior Product Manager Education, AI & Professional Development

Summary

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. 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: 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 Compensation: Not provided by employer. Typical compensation for this role is $155,000 – $210,000/year based on title (Sr. Product Manager), seniority (5–7+ years), specialized EdTech/AI expertise, and P&L ownership. 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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