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Playlab is hiring its first dedicated Product Manager. This is a hands-on, high-ownership role for someone who wants to shape how educators and students build with AI. You'll work to implement Playlab’s strategic pillars including: Expand what's possible, Deepen the context, Set the safety standard. Playlab has a near-term strategy defined. What we need is someone who can translate that strategy into shipped product, while sharpening the strategy based on what you learn along the way.
Job Responsibility:
Drive Product Execution: Own the product roadmap, prioritize ruthlessly, write clear specs, and work with design, engineering, and learning teams to ship
De-risk builds by breaking work into meaningful increments
Make tradeoffs when scope, timeline, and resources collide and communicate those tradeoffs clearly
Go Deep on the Details: Write detailed requirements
Understand the technical constraints and possibilities, and work side-by-side with engineering
Engage directly with users, and gather user feedback, usage data, and partner insights to inform decisions
Build Product Process: Establish rituals, artifacts, and communication patterns
Create clarity about how product decisions get made
Document what's working so others can build on it
Collaborate Across Teams: Work with Learning and Partnerships to translate field feedback into clear priorities and simpler designs
Coordinate with design to ensure what we build is usable
Refine Strategy as You Learn: Pressure-test strategic assumptions
Surface when priorities should shift, and make the case with evidence
Help leadership make better decisions by bringing clarity to ambiguous situations
Requirements:
7+ years of product management experience
Experience in at least one early-stage or high-growth environment where you had to build process, not just follow it
Led product development for AI-powered or technically complex products
Can work fluently with ML and engineering teams
Get energy from the details
Ship fast without cutting corners
Thrive in ambiguity and can make good decisions with incomplete information
Communicate crisply
Care about education, equity, or mission-driven work
Nice to have:
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
Experience with responsible AI, content moderation, or trust & safety product work
Deep familiarity with the AI/LLM product landscape