Developer Education Lead

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Why this role matters

AI capabilities are advancing faster than developers can keep up. The gap between what Claude can do and what developers know how to build with it is widening with every model release, every new API feature, and every capability unlock. Closing that gap isn’t just a content problem—it’s a strategic imperative that directly affects how this technology gets adopted, integrated, and ultimately trusted in production systems around the world.

Anthropic’s Ministry of Education exists to help people and organizations develop genuine fluency with AI—not just product training, but the kind of understanding that compounds over time and transfers as capabilities advance. This role owns the developer side of that mission: creating and managing the roadmap for all developer-facing education content and distribution.

The role

As developer education lead, you’ll own the end-to-end strategy, roadmap, and execution for how developers learn to build with Claude. This is not a traditional content role. You’ll sit at the intersection of DevRel, product, and education—deeply embedded in product launches, working cross-functionally with engineering, developer relations, GTM, and the broader education team to ensure every major capability ships with the educational content developers need to adopt it. This is a technical role, with an expectation of using and testing dev tools in your workflows.

You’ll build and own a content pipeline that moves from idea to validation to production to launch—replacing ad-hoc, vibes-based prioritization with a system that’s rigorous about what gets made and why. Your scope spans video content, written tutorials, API courses, cookbooks, and whatever formats emerge as Claude’s capabilities evolve. You’ll work closely with our DevRel team, video producers, and technical writers to create content that helps developers go from “I’ve heard of Claude” to “I’m building production systems with it.”

Key responsibilities

• Own the developer education content roadmap—prioritizing what gets built, when, and for whom across video, written, and course formats

• Partner deeply with product and engineering teams on launches—ensuring every major feature, API update, and capability unlock ships with developer education content + documentation

• Collaborate with DevRel to align on YouTube strategy, community content, and developer community programs (e.g., ambassador programs, public certifications)

• Manage and coordinate with video producers, technical writers, and contractors to execute against the roadmap

• Conduct ongoing content audits—identifying what to update, remove, and add as Claude’s capabilities evolve (e.g., new API features, deprecations, agentic capabilities)

• Define and track content performance metrics that go beyond vanity metrics—measuring actual developer adoption, activation, and fluency gains

• Work with cross-functional teams in MoE, marketing and product to ensure education reaches developer audiences when and where they need it and has sufficient parity with offerings across non-technical audiences

You might be a good fit if

• You have 5+ years in developer content strategy, developer education, DevRel, or technical content leadership—ideally at a developer tools or platform company

• You’ve owned a content roadmap end-to-end and can point to systems you built for prioritizing, producing, and measuring technical content at scale

• You’re deeply cross-functional—comfortable working across engineering, product, marketing, and community teams and translating between their priorities

• You understand developers as an audience, because you are one. You're experienced building with developer tools and can comfortably jump in to use and understand new dev tools independently

• You’re a strong writer and editor who can translate complex technical concepts without dumbing them down

• You use AI tools (ideally Claude) extensively in your own work—not as a novelty, but as core infrastructure for how you think, write, and ship

• You’re comfortable building processes from scratch in fast-moving, ambiguous environments where the product itself is changing rapidly

• You have a strong perspective on how developer education needs to evolve as AI capabilities advance toward AGI

Familiarity with Python is required for this role.

Strong candidates may also have

• Experience managing video content programs (YouTube channels, course platforms, tutorial series)

• Background in API documentation, developer experience, or technical writing

• Familiarity with AI/ML concepts and the developer tooling landscape

• Experience with developer education platforms (Skilljar, Coursera, or similar)

• Prior experience at a high-growth technology company navigating rapid product evolution

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process