Playlab is seeking a Lab Schools Learning Partner to architect and run a rigorous, 24-month cohort for visionary learning community leaders who are building AI-enabled learning environments. In this role, you will serve as the connective tissue between school leaders, Playlab's internal teams, and external partners to design, prototype, and refine models that shift agency to students.

What You'll Do

Design a 24-month, high-rigor cohort where leaders design, prototype, and refine AI-enabled learning environments that elevate student agency.
Co-create cohort structure, norms, and learning arc with partners, integrating leadership development, design thinking, and practical implementation.
Define clear outcomes, milestones, and evidence routines to track shifts in student roles, adult practice, and system design.
Serve as the primary point of contact for key ecosystem partners.
Align sessions, workstreams, and artifacts so leaders experience a coherent, integrated program.
Convene and manage multi-organization working groups to tackle shared problems of practice.
Coach and support heads of school, district/network leaders, and founders to articulate ambitious visions for AI-enabled, student-driven models.
Translate visions into concrete pilots, staffing plans, instructional models, and role shifts.
Ensure work is tied to academic goals, equity commitments, and community priorities.
Design and facilitate high-quality convenings—virtual and in-person—including design studios, build sprints, cross-community learning, evidence reviews, and reflection cycles.
Build a culture of candor, co-creation, and shared practice so leaders learn deeply from one another.
Manage logistics, communications, and cadence to ensure a smooth, predictable program experience.
Help leaders identify high-leverage AI use cases.
Coordinate co-build cycles with Playlab’s product and engineering teams to rapidly prototype and iterate.
Partner with research colleagues to define and measure student agency, instructional change, and system redesign across the cohort.
Guide learning communities in developing reusable artifacts like playbooks, staffing models, and schedules.
Curate stories of student agency, new learning environments, and AI-enabled practice to share through showcases, convenings, and publications.
Ensure the cohort contributes meaningfully to national learning about how AI can support agency, equity, and deeper learning.

What We're Looking For

Significant K–12 leadership experience, including founding or leading a school, leading a network/region/system portfolio, or serving in a senior district/CMO role.
A track record of system-level implementation (not just pilots) that changed practice and outcomes.
Experience in multiple schooling contexts, including at least one traditional public district and at least one charter network or innovative environment.
Strong program and project management skills and comfort owning a complex, multi-site initiative.
Deep belief in student agency, equity, and public education.
Comfortable with AI/edtech and translating between educators and technical teams.
Exceptional facilitator and relationship-builder with senior leaders and school teams alike.
Strong conceptual and practical thinking—able to help leaders envision new models and then back-map to schedules, roles, and constraints.
High bias for action, flexibility, and comfort in a fast-evolving environment.

Nice to Have

Experience running or supporting fellowships/cohorts for school founders or system leaders.
Background in research, continuous improvement, measurement, or evaluation of student-centered outcomes.
Experience working with design studios, intermediaries, or philanthropy.

Team & Environment

You will work across Playlab—product, engineering, research, and partnerships—and with world-class design partners.

Benefits & Compensation

Healthcare
Retirement
Generous time off
Opportunities for professional growth

Work Mode

This is a remote-first position.

Playlab is a mission-aligned team committed to equity, creativity, and joyful learning, building the future of public-serving, human-centered AI in education.