Playlab Senior Product Manager at Playlab responsible for shaping how educators and students build with AI. Focus on expanding AI capabilities, deepening context through curriculum knowledge graphs, and setting safety standards in AI education.
Responsibilities
This is a hands-on, high-ownership role for someone who wants to shape how educators and students build with AI.
Your product work will:
Expand what's possible: Add new capabilities (e.g., components, agents) that expands how creators craft ai native software for their contexts.
Deepen the context: Build on our current work on curriculum knowledge graphs and organizational knowledge bases to deepen how creators can leverage their context.
Set the safety standard: Push the boundaries on what responsible and safe AI in education looks like. This includes advancing our moderation and safety systems; supporting learnability, legibility, and interpretability within the product; collaborating with key ecosystem partners; and open sourcing as much of this work as we can to advance the ecosystem.
You'll work directly with our CTO, engineering team, ML team, designers, and partnerships team. You'll hear directly from educators through our deep partner relationships. And you'll make product decisions that affect how educators and learners across the globe experience AI in education.
This role requires comfort with ambiguity. Playlab is an early-stage product with significant scope, a growing team, and limited existing product process. You'll need to build that process as you go and not wait for someone to hand it to you. If you need a lot of structure to do your best work, this isn't the right fit. If you thrive when you can shape the environment around you, read on.
Drive Product Execution
Prioritize ruthlessly, write clear specs, and work with design, engineering, and learning teams to ship
De-risk builds by breaking work into meaningful increments that let us learn as we go
Make tradeoffs when scope, timeline, and resources collide and communicate those tradeoffs clearly
Go Deep on the Details
Qualification
Experience with responsible AI
Preferred
Experience in edtech or deep familiarity with how products land in K-12 or higher ed environments
Background working on platforms or tools where users build things (not just consume content)
Experience with responsible AI, content moderation, or trust & safety product work
Deep familiarity with the AI/LLM product landscape
