Product Manager, Global Learning & Knowledge Platforms

Position Summary

To advance Teach For All's 25-year vision of developing collective leadership for educational equity, we are seeking a Product Manager, Global Learning & Knowledge Platforms to steer our internal digital learning and knowledge infrastructure. Reporting directly to the Head of Product, this role oversees a dual-track product portfolio bridging core software product delivery and strategic vendor governance.

The primary focus will be our proprietary knowledge-sharing platform, the Partner Learning Portal, where you will lead user research, roadmap development, prioritization, and feature delivery, while partnering with the Head of Product on emerging generative AI initiatives.

The remaining focus will involve key adjacent global learning products, such as enterprise LMS platforms, alumni and teacher networks, or global data extensions, depending on organizational priorities. Across this portfolio, you will balance hands-on product delivery, user-centered decision-making, cross-functional collaboration, and strategic vendor management.

Key Responsibilities :

• Cross-Functional Leadership: Collaborate cross-functionally with global program teams, internal stakeholders, the technology team, and platform content leads to align on project goals and platform needs.
• Portal Product Ownership: Lead end-to-end product delivery and roadmap management for the Partner Learning Portal, overseeing backlog prioritization, feature updates, UX improvements, and platform maintenance to ensure high user engagement.
• AI Experimentation & Delivery: Execute the Portal AI strategy by collaborating with the Head of Product to translate overarching vision into user experiments, prototypes, and actionable feature roadmaps alongside specialized engineering partners and content leaders.
• Technical & Strategic Alignment: Partner closely with internal engineering teams as well as external development vendors, and software providers to ensure feature delivery aligns with global technology strategy and budget allocations.
• Adjacent Network Tool Partnerships: Manage vendor relationships and integration architectures for separate learning and knowledge-sharing network tools, (e.g., LMS platforms, fellow or alumni connectivity tools, or global data extensions).
• Content Integration & Support: Collaborate with content owners and Learning Experiences teams to embed effective knowledge-management practices across established platforms, while guiding content strategies for new learning products to maximize discoverability and engagement.
• Strategic Collaboration: Maintain alignment with the Head of Product across feature discovery, technical specifications, vendor contracts, and strategic resource allocation.

Qualifications

• Product Management Experience: 5+ years of experience leading digital products, internal knowledge platforms, or digital learning ecosystems end-to-end.
• Problem Solving & Root Cause Analysis: Demonstrated ability to uncover root needs beyond surface feature requests and design systemic solutions across technology, process, and organizational alignment.
• Autonomy & Execution: Self-directed leader capable of converting broad organizational goals into tactical roadmaps and measurable deliverables.
• Communication & Stakeholder Management: Excellent communication skills, adept at writing clear requirements and facilitating collaboration between technical and non-technical stakeholders.
• Technical Specs & Vendor Management: Proven background drafting technical specs and managing relationships with external software vendors and development partners.
• Human-Centered Design: Strong grounding in human-centered design, user discovery, and iterative product enhancements based on user feedback.
• Data-Informed Decision-Making: Proficiency in leveraging quantitative metrics and qualitative insights to guide roadmap decisions and assess feature performance.
• Emerging Technology Curiosity: Active curiosity in emerging technologies (e.g., generative AI, automated tagging, modern search) and their application to user challenges (hands-on AI coding not required).

Additional desirable skills/experiences (not required)

• Prior experience scoping, testing, prototyping, or launching AI-assisted feature sets.
• Familiarity with Teach For All's network structure, partner model, or global context.
• Professional fluency or proficiency in Spanish, French, Arabic, or other network languages.

What Teach For All Offers:

• Commitment to cultivating a culture in which all staff members feel they belong, are valued for their contributions, and have an impact on our organization's progress
• Professional and personal development experiences and ample opportunities to make a positive impact on the work of Teach For All and beyond
• Comprehensive benefits package designed for your well-being and work-life needs
• Generous time off and flexible work arrangements
• And much more!

Application Instructions

If this opportunity sounds like the next best step in your career, please submit your resume or curriculum vitae (CV) and a one-page letter of motivation (in English) directly online. Your letter should summarize motivations for your application and how your skills and experience align with the terms of this opportunity. We look forward to learning about you and your passion for ensuring educational opportunity for all!

Applications are reviewed on a rolling basis. Therefore, candidates are encouraged to apply at their earliest convenience.

Work authorization

This position does not offer employment visa sponsorship, immigration assistance, or support for work permits or residency applications. To be considered, candidates must already possess valid work and residency authorization to work in the country of hire at the time of application.

Compensation

Salary for this position is competitive and dependent on country of hire and prior work experience and includes a comprehensive benefits package.

Travel and Hours

All work is delivered virtually. Up to 10 % of travel may be required. Given that we work across different time zones, some non-traditional hours for early or later calls are an expectation of this role.