Playlab

• Build and Prototype AI Apps for partner organizations • Co-Design AI Tools with Educators • Flex across Partner Work and Special Projects • Run Design Sprints and Build Sessions • Coach Educators through the Build Process • Push the Boundaries of what's Possible on the Platform • Host Office Hours and Open Build Time • Support Student-Facing AI Building • Bring Field Insights Back to Playlab team

• Identify high leverage opportunities for creating AI apps that enhance math teaching and learning • Build bespoke math apps on Playlab for and with partner organizations • Co-design with math educators through hands-on coaching and design sprints • Set the bar for math AI tools across the platform • Mentor Learning Engineers on math-adjacent work • Run high-trust coaching through various support methods • Push the boundaries of what's possible in math apps • Support student-facing math building initiatives • Bring field insights back to Playlab's product and engineering teams

• Support 2 to 3 Lab Schools. • Hold the relationship with each school's founding team across the 24-month partnership, with monthly leader check-ins, weekly build sessions, and on-call support through launch. • Partner With the Senior LE in Your Region. • Work alongside the Senior Learning Engineer anchoring the cohort to deliver consistent technical support across your assigned schools and contribute to phase-by-phase programming. • Build Bespoke AI Tools alongside teachers and leaders, including custom assessment tools, lesson planners, student-facing builders, and family communication apps tuned to each school's pedagogy. • Contribute to the Open-Source Playbook. • Document builds, capture patterns from your schools, and feed insights into the playbook that ships at month 24 for the field. • Run Coaching Sessions through drop-in office hours, async build support, and 1:1 video coaching with builders and leaders at your schools. • Co-Facilitate Quarterly Convenings. • Three days every quarter for 24 months, supporting build sessions and hosting office hours alongside the broader Lab Schools team. • Grow Your Craft through regular practice with senior LEs, build reviews, and ongoing mentorship from the Head of Learning Engineering. • Contribute Beyond the Cohort as Needs Arise. • Step into adjacent partnerships, cross-team initiatives, or new bets that benefit from LE craft. We'll set expectations together so the lab schools work always stays the anchor, while leaving room for the kind of flexibility a small, ambitious team requires. • Bring Field Insights Back to Playlab's product, engineering, and research teams to shape platform features and shared playbooks.

• Anchor 4 to 5 Lab Schools. • Co-Steward the Cohort With the Lab Schools Learning Partner. • Build Bespoke AI Tools alongside teachers and leaders, including custom assessment tools, knowledge-graphed lesson planners, student-facing builders, and family communication apps tuned to each school's pedagogy. • Mentor Embedded Regional LEs anchored in NYC, Memphis, Austin, the DMV, and Tempe, sharpening their craft and helping them grow into senior practitioners. • Hold the Rubric for Lab Schools Builds. • Run High-Trust Coaching through drop-in sessions, async build support, and 1:1 video coaching with the most advanced builders and leaders across the network. • Co-Facilitate Quarterly Convenings. • Contribute Beyond the Cohort as Needs Arise. • Bring Field Insights Back to Playlab's product, engineering, and research teams to shape platform features and shared playbooks.

• Run the engineering team day-to-day — 1:1s, career development conversations that actually change how people work • Support weekly tactical coordination across projects • Partner with the CTO on technical strategy, architecture decisions, and the engineering roadmap • Collaborate with the Head of ML to align platform and ML engineering efforts • Coach engineers through pairing, code reviews, and system design discussions • Diagnose what each engineer needs • Introduce and refine AI-assisted engineering practices across the team's workflows • Shape engineering culture and processes for a growing remote-first team • Help level up the leadership team of the company • Work cross-functionally with product, design, research, and education teams • Help double the engineering team from ~10 to 20 this year — hiring, onboarding, and building the structures that let a larger team stay fast and coherent

• Engage in rapid prototyping and planning specific to contexts in a cohort of up to 20 leadership teams. • Participate in monthly strategy calls and quarterly in-person intensives. • Interrogate fundamental beliefs about education's structure. • Leverage Playlab's platform to create custom AI tools that enhance human connectivity within education.

• Design a domain model that enables both institutions (districts, schools, ministries) and individuals (teachers, coaches) to use Playlab successfully • Clarify how users, organizations, apps, and permissions relate to each other as Playlab scales • Ensure the model supports Playlab's current partnerships while creating flexibility for future growth • Specify the controls that give institutions visibility and confidence: user management, app distribution, usage reporting, and appropriate content governance • Balance institutional needs with Playlab's commitment to educator agency—administrators need oversight without locking down what makes Playlab powerful • Work with the partnerships team to prioritize based on what's actually blocking deployments • Define requirements for getting roster data into and out of Playlab at scale—supporting districts and organizations with varied SIS configurations • Specify integration patterns that work across the fragmented K-12 data landscape (Clever, ClassLink, OneRoster, custom exports) • Design flows that reduce manual work for IT administrators and partnership teams

• Ship features across the full stack - from React/Remix frontend to Node.js backend • Move fast to learn what works - ship experiments quickly and iterate based on feedback • Be curious - learn and apply web technologies and best practices as you build • Work collaboratively with designers, other engineers, and product to build features users need • Write tests and documentation for your code • Participate actively in code reviews and learn from the team

• Design a 24-month, high-rigor cohort for AI-enabled learning environments • Co-create cohort structure, norms, and learning arc with partners • Define clear outcomes, milestones, and evidence routines • Serve as the primary point of contact for key ecosystem partners • Align sessions, workstreams, and artifacts for a coherent program experience • Convene and manage multi-organization working groups • Coach and support heads of school and leaders to articulate ambitious visions • Translate visions into concrete pilots, staffing plans, and instructional models • Ensure work ties to academic goals, equity commitments, and community priorities • Design and facilitate high-quality convenings—virtual and in-person • Help leaders identify high-leverage AI use cases and coordinate co-build cycles • Guide learning communities in developing reusable artifacts and curate stories of student agency

• Architect new agent runtime infrastructure that will support us scaling to the next 100x users • Implement the foundations of multi-person apps and realtime collaboration features • Design systems that support lab schools redesigning education from the ground up - from AI-native curricula to entirely new operational models • Collaborate with the ML team to select and build data infrastructure that can power realtime steering of LLM interactions • Work with product and app engineering to create secure, ephemeral backend sandboxes that enable power users to add sophisticated custom functionality to the apps they’re creating on Playlab • Contribute to open sourcing components of our platform and supporting country-specific and self-hosted deployments • Research, make tradeoffs, design and implement the core systems that enable us to rapidly iterate on AI-native educational experiences • Help design the engineering culture and technical strategy • Stay on top of new technologies, platforms and techniques to unlock new functionality and improve existing features • Work cross functionally and with customers so your system designs support the real needs of users as well as engineering goals • Balance experimentation with production excellence - be quick and creative when exploring new possibilities, ensure reliability, observability, and maintainability when productionizing systems • Take security and privacy seriously and work it into your architectural decisions • Work with product and engineering to both set and support the roadmap • Mentor engineers on system design and platform engineering through pairing and reviews.