You'll define how users discover, practice, and demonstrate skills across in-product journeys, training, and AI-assisted guidance. You will work closely with engineering, design, curriculum, and go-to-market teams to translate pedagogical goals into scalable platform capabilities, from adaptive learning flows and assessments to analytics that prove real skill development.

Key responsibilities include defining and driving the product vision, strategy, and roadmap for AI-first learning systems on the Databricks platform, designing experiences that surface targeted knowledge precisely when users need it, translating learning and pedagogical goals into platform capabilities, partnering with UX and content design to create intuitive, embedded guidance and learning patterns, collaborating with platform and infrastructure teams to ensure learning and skills systems are reliable, secure, performant, and able to serve global enterprise customers at scale, and providing employees and leaders with transparent views into skills, enablement activities, and progress toward role and organizational goals through dashboards, reports, and in-product insights.

What success looks like in the first 12 months includes a cohesive, AI-first skills platform and experience being live, guiding users from first login with contextual, just-in-time experiences triggered by work context, clear, trusted metrics existing for learning efficacy and skill attainment, predictive insights into emerging capability and skills gaps being available to leaders, enablement teams using platform tools to deliver personalized learning and guidance at scale without needing to grow headcount proportionally, and learning and skills capabilities being integrated with broader Databricks platform features and measurably improving adoption and expansion.

Qualifications include 5-8+ years of experience in product management, UX-focused product roles, or learning/education platforms, ideally within B2B SaaS, developer tools, or data/AI products, demonstrated experience owning a product area end to end, experience building or working on learning systems, training platforms, or content/knowledge experiences, strong UX instincts and a track record of collaborating closely with designers and researchers, comfort working with data, excellent written and verbal communication skills, and experience with AI-powered learning, adaptive systems, or building products that incorporate LLMs into user workflows.

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You'll build the infrastructure that makes AI-native education real , not as a concept, but as a working system that people interact with every day. You'll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems.

This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders.

The annual compensation range for this role is $300,000-$405,000 USD.

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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.

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 Collaboratively define success metrics grounded in demonstrated understanding, skill progression, and lasting agency , not time-on-site or completion counts Keep a hand in the success of adjacent team efforts, helping the overall education portfolio work as a system rather than a collection of projects Partner across Anthropic , product teams, research, GTM, societal impacts, marketing , to keep education woven into how we ship and scale Run the program, not just the product: drive stakeholder alignment across technical and non-technical partners, keep workstreams on track, and own the operational rhythm that turns strategy into shipped work

You may be a good fit if you have

5+ years in product management, with a track record of shipping products from zero to one and seeing them through to real impact Technical fluency , you're comfortable with AI tools, can prototype with Claude, and hold your own in conversations with researchers and engineers Genuine curiosity about frontier AI , you follow what's emerging, you play with new capabilities, and you have opinions about where things are heading Comfort with ambiguity and wide scope , you make good calls with incomplete information and you're not precious about where your job ends A track record as a force multiplier on small teams , you make the people around you more effective, not just your own roadmap Strong written and verbal communication , you can write a crisp spec, present to leadership, and synthesize messy stakeholder input into a clear direction Conviction that education should build agency, not dependency , you want to teach people to think with AI, and you believe that matters

Strong candidates may also have

Experience working closely with research or applied science teams, or a background that makes you fluent in how research becomes product Background in learning products, developer education, or curriculum design Founder experience or time at an early-stage company where scope was wide and you wore many hats Familiarity with how people actually learn , learning science, instructional design, or strong instincts from having taught something yourself Experience building with LLMs as core product infrastructure, not just as a feature

What this role is not

This is a hands-on IC product, project, and program management role. You'll shape strategy, push the team's thinking, and have real influence over what education at Anthropic becomes, and coordinate complex execution across multiple stakeholders and teams , but it doesn't involve people management. If you're looking to immediately lead a team, this isn't the right fit. If you want broad scope and high autonomy as a builder, it might be.

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Responsibilities:

Product Strategy & Vision

Define and own the long-term product strategy for student-focused learning tools, integrating learning science, adaptive learning, and AI-driven workflows. Translate complex educational, technical, and market insights into a clear product vision and roadmap across multiple feature areas. Drive product-market fit by synthesizing customer signals, competitive analysis, and research evidence to identify unmet or emerging student needs. Establish success metrics (OKRs, KPIs, learning efficacy measures) and ensure alignment with Microsoft’s broader AI strategy. Partner with researchers, educators, and data science teams to validate hypotheses, run experiments, and incorporate evidence-based instructional methods. Champion learning efficacy and motivational frameworks into product experiences. Identify opportunities to disrupt the education market with innovative, student-centered solutions that differentiate Copilot for Education.

Cross-Functional Leadership & Execution

Lead end-to-end product execution —from ideation to launch to iteration—ensuring high standards of quality, security, accessibility, and responsible AI. Collaborate with engineering, design, research, marketing, and data teams to deliver cohesive, scalable student experiences. Drive alignment resolving complex dependencies and influencing senior stakeholders to support product strategy and investments. Use data and AI-driven insights to continuously improve engagement, retention, and student outcomes. Leverage AI-powered tools and prototyping workflows to accelerate design exploration, experimentation, and iteration.

XML job scraping automation by YubHub

Responsibilities:

Product Strategy & Vision

Define and own the long-term product strategy for student-focused learning tools, integrating learning science, adaptive learning, and AI-driven workflows. Translate complex educational, technical, and market insights into a clear product vision and roadmap across multiple feature areas. Drive product-market fit by synthesizing customer signals, competitive analysis, and research evidence to identify unmet or emerging student needs. Establish success metrics (OKRs, KPIs, learning efficacy measures) and ensure alignment with Microsoft’s broader AI strategy. Partner with researchers, educators, and data science teams to validate hypotheses, run experiments, and incorporate evidence-based instructional methods. Champion learning efficacy and motivational frameworks into product experiences. Identify opportunities to disrupt the education market with innovative, student-centered solutions that differentiate Copilot for Education.

Cross-Functional Leadership & Execution

Lead end-to-end product execution —from ideation to launch to iteration—ensuring high standards of quality, security, accessibility, and responsible AI. Collaborate with engineering, design, research, marketing, and data teams to deliver cohesive, scalable student experiences. Drive alignment resolving complex dependencies and influencing senior stakeholders to support product strategy and investments. Use data and AI-driven insights to continuously improve engagement, retention, and student outcomes. Leverage AI-powered tools and prototyping workflows to accelerate design exploration, experimentation, and iteration.

XML job scraping automation by YubHub

Responsibilities:

Product Strategy & Vision

Define and own the long-term product strategy for student-focused learning tools, integrating learning science, adaptive learning, and AI-driven workflows. Translate complex educational, technical, and market insights into a clear product vision and roadmap across multiple feature areas. Drive product-market fit by synthesizing customer signals, competitive analysis, and research evidence to identify unmet or emerging student needs. Establish success metrics (OKRs, KPIs, learning efficacy measures) and ensure alignment with Microsoft’s broader AI strategy. Partner with researchers, educators, and data science teams to validate hypotheses, run experiments, and incorporate evidence-based instructional methods. Champion learning efficacy and motivational frameworks into product experiences. Identify opportunities to disrupt the education market with innovative, student-centered solutions that differentiate Copilot for Education.

Cross-Functional Leadership & Execution

Lead end-to-end product execution —from ideation to launch to iteration—ensuring high standards of quality, security, accessibility, and responsible AI. Collaborate with engineering, design, research, marketing, and data teams to deliver cohesive, scalable student experiences. Drive alignment resolving complex dependencies and influencing senior stakeholders to support product strategy and investments. Use data and AI-driven insights to continuously improve engagement, retention, and student outcomes. Leverage AI-powered tools and prototyping workflows to accelerate design exploration, experimentation, and iteration.

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