Sr. Product Manager Education, AI & Professional Development

1 RemoteRemoteFull Timesenior

OtherDevelopment

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Position Overview: The Senior Product Manager owns the full strategy, roadmap, and business performance for Colibri’s Professional Development suite and AI Professional Development product lines.

Technical Tools

OtherDevelopment

Position Overview:

The Senior Product Manager owns the full strategy, roadmap, and business performance for Colibri’s Professional Development suite and AI Professional Development product lines. Operating as a mature individual contributor, this role translates senior-level direction into execution while driving measurable customer and financial outcomes across the entire product lifecycle — from content ideation and production through delivery, learner impact, and long-term value. You will combine deep customer insight, instructional design expertise, and AI-native thinking to build high-impact, scalable learning experiences that advance real estate professionals’ careers in an AI-driven market.

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.

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.