Playlab - Learning Engineer [Flexible]

• Build and Prototype AI Apps on Playlab for and with partner organizations, creating exemplar tools, starter collections, and proof-of-concept apps. • Co-Design AI Tools With Educators through hands-on coaching sessions, design sprints, and 1:1 work time, helping them go from a problem of practice to a working prototype. • Flex Across Partner Work and Special Projects. Move between district PD anchors, lab school cohort support, special project builds, and platform reference apps as the team's portfolio shifts. • Run Design Sprints and Build Sessions (virtual and in person) where educators get hands-on time prototyping and shaping AI tools for their schools. • Coach Educators Through the Build Process by helping them craft effective prompts, structure app logic, integrate knowledge sources, set up guardrails, and tune their tools for their specific students and context. • Push the Boundaries of What's Possible on the Platform by experimenting with advanced prompting, multi-step app flows, and creative uses of Playlab's features. • Host Office Hours and Open Build Time where educators can drop in, troubleshoot, get feedback, and keep iterating on their apps. • Support Student-Facing AI Building including hackathons, design challenges, and project-based work for students aged 13+. • Bring Field Insights Back to the Playlab team to inform platform features, learning resources, and partnership strategy. • YOU MIGHT BE A FIT IF YOU... • Have K-12 classroom experience and understand the problems educators are actually trying to solve. • Are a builder at heart who likes to tinker, prototype, and make things with new tools. • Get excited about coaching others to build, sitting alongside educators and helping them shape their own AI tools. • Have experience with design thinking, rapid prototyping, or helping people learn by doing. • Have a strong working understanding of prompting, including system prompt design, few-shot techniques, knowledge grounding, and getting reliable outputs from LLMs. • Are comfortable using and experimenting with AI tools (ChatGPT, Claude, Playlab) and can help others get comfortable too. • Can work through ambiguity and figure out how to make the right thing for a specific school, team, or context. • Are a strong relationship-builder who earns trust with educators, school leaders, and district partners. • Care deeply about equity and access, and about ensuring AI capacity-building reaches historically marginalized communities. • Are excited to travel to partner sites for in-person build days, coaching, and design sprints.