Senior Product Manager, Education Labs

About the role

We believe skill with AI is fundamental to human agency. Education Labs sits inside Product Research, which means we build learning products with a front-row seat to what's coming. We're close to the people shaping Claude's next capabilities, and our job is to make sure the world can actually use them.

We're looking for a senior product manager to own our most ambitious bet: building learning products and experiences that are native to frontier AI. What does education look like when the system teaching you can reason, adapt, and grow alongside you? We think the answer looks very different from what exists today, and we want someone who's energized by figuring that out with us.

We're skeptical of completion rates and course catalogs as the true measure of success. We build AI fluency that creates agency, not atrophy — skills that grow in value as capabilities accelerate, not hacks that expire with the next model release. We measure success by whether millions of people gain real agency over AI's role in their lives, not just proficiency with our products.

This role sits at the intersection of product, research, and learning. You'll spend real time with research teams, sitting in on capability previews, understanding what's emerging, and translating that into what we should build next. The models will keep changing what's possible; you need to see that coming and build toward it, not react to it after the fact.

You'll own the team's core product work including both the technical and non-technical considerations for how learners interact with our content. You'll also have a hand in the broader success of the team. We're small and growing fast against demand that's grown severalfold in months. Some weeks that means shaping strategy and pushing our thinking forward. Other weeks it means chasing down  reviews, aligning roadmaps, or doing the connective work that keeps everything moving. A lot of what determines whether we succeed is coordination: collaborating with stakeholders across research, GTM, comms, and legal (many of them non-technical), keeping dependencies unblocked, and making sure good work actually ships. The operational muscle to make our strategy real is just as important as the ability to develop the vision. If you're looking for a role where the scope is already neatly drawn, this isn't it. If you want to help define what this becomes, it might be.

Responsibilities

Build at the frontier

• Co-develop vision and own strategy and execution for AI-native learning products — the adaptive systems, assessments, and in-product experiences that will define how people learn with and about frontier AI

• Work closely with research teams to understand emerging capabilities and what they unlock for learners — you're translating research into product, not waiting for a spec

• Prototype and experiment to validate ideas quickly, using Claude and our internal tools as building blocks

• Anticipate how capability shifts change the product and build with that trajectory in mind

• Stay close to learners — run user research, watch real people move from "I don't understand this" to "I could teach this," and let what you observe reshape what we build

Be a thought partner

• Push the team's thinking on what education should look like as AI capabilities accelerate — help us spot what we're missing, not just execute what we've already decided

• Bring product rigor to a team that's scaling fast: clear priorities, sharp tradeoffs, honest metrics that connect learning to real behavior change

• Act as a bridge between research, product, GTM, marketing, comms, and the education team, translating in all directions

See the whole picture

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