Head of Content & Curriculum, Education

San Francisco, CA | New York City, NY·Posted today

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<div class="content-intro"><h2>About Anthropic</h2> 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.</div><h2>About the role</h2> AI capabilities are advancing faster than most people can adapt. The gap between what Claude can do and what people know how to do with it widens with every model release. Closing this gap before the window for thoughtful adoption narrows is core to our mission.   The content & curriculum team sits at the heart of that mission. This isn’t docs, and it isn’t traditional courseware either. We’re building a library of educational content and experiences that can be delivered to each learner at the precise moment they need it, teach them effectively, and keep learning engaging. And we want to scale it with Claude (and, hopefully, you!)    You'll own the education team’s content end to end—every audience (developers, consumers, enterprise admins, the general public) and every format (courses, tutorials, video, interactive experiences). Your obsession is the learner: does this actually empower people to use AI intentionally, is it the clearest version of itself, and are we proud of it?   You'll manage a team of content strategists, plus the media designers, agencies, and agents who support them. Working  hands-on with Claude is part of how content gets made here: you and your team will design the workflows and standards that determine where and how AI can accelerate drafting, review, and maintenance, and determine where human craft is non-negotiable os that the team so that the team can move faster without lowering the bar. Where that line sits, and how it moves as models improve, is yours to figure out.   This isn't a traditional catalog you maintain. Models improve, audiences grow, and the best version of what you ship today won't be the best version six months from now. You’re building a content library that evolves in real time with Claude.  Your goal is learning that adapts to each person and scales far past what any team could produce by hand, without ever giving up the quality bar that makes it worth learning from. The most exciting version of this role encodes its own craft into AI-powered systems rather than guarding it. <h2>Key responsibilities</h2> <ul> <li> Own the content and how well it teaches across every audience and format </li> <li> Set and defend the quality bar for scaled education. Define what "great" means precisely enough that the team can hit it without you in the room </li> <li> Push the medium forward: design learning that's beautiful, distinctive, interactive, and increasingly personalized, not templated courseware </li> <li> Design and run the content production system (intake, prioritization, drafting, review, launch) at the cadence of model and product launches </li> <li> Shape how Claude is used in production—the frameworks and standards that let AI accelerate output while keeping it excellent </li> <li> Manage and develop the audience leads and media designers; play a key role in the education team’s growth and org design  </li> <li> Own learning measurement: how we know content is teaching, and how that feeds back into how we make it </li> <li> Take us to the next stages of reach—localization, globalization, new audiences—and own the strategy and execution for getting there </li> </ul> <h2>You might be a good fit if</h2> <ul> <li> You have genuine taste, and it's the first thing you bring. You can't walk past a clumsy explanation or a boring course. This matters more than anything else here </li> <li> You've led a content, curriculum, or education function at scale, including managing leads, and you develop people as well as you do the craft </li> <li> You’ve led teams through significant changes in pursuit of an audacious vision, and brought people along rather than leaving them behind </li> <li> You build systems across many varied, cross-functional partners (product, engineering, marketing, design, agencies, subject matter experts) and coordinate them as one production engine rather than a chain of handoffs </li> <li> You've produced learning across formats—written, video, interactive—and you know when to deploy each for maximum effect and efficiency </li> <li> You've built and run technical curriculum before, and know what it takes to teach developers working in the field; at a minimum you can read code, you know what good looks like, and you can coach your technical team members through teaching complex topics </li> <li> You're rigorous about measurement and grounded in learning science. You define what "working" means in a learning context, instrument for it, and act on what you find </li> <li> You've produced content with Claude yourself, have real intuition for what to trust it with versus what still needs a human, and can continuously evaluate that line as models improve </li> <li> You're energized by scaling your own craft. Encoding your taste into  systems and workflows that produce far beyond what your own hands could genuinely excites you, and you embrace scaling the work with Claude rather than guarding it </li> <li> You're comfortable that today's best content has a short shelf life, and you design for durability and fast regeneration rather than perfecting artifacts that models will outdate </li> <li> You have a thesis about what teaching becomes when every learner has an adaptive AI tutor, and you're here to build that, not a better version of the old thing </li> <li> You're a strong writer and editor who translates technical concepts without dumbing them down </li> <li> Experience at a high-growth technology company (or somewhere with that pace) where product and audience considerations shift frequently, and often faster than plans do </li> <li> You’re a collaboration magnet who is able to build strong relationships across many functions and teams in service of a single mission. </li> </ul> <h2>Strong candidates may also have</h2> <ul> <li> Experience teaching advanced AI/ML topics to both technical and non-technical audiences </li> <li> Experience building AI-assisted production workflows for content, media, or other creative work, and a point of view on where and how they break down and need human involvement and oversight </li> <li> Experience designing interactive or adaptive learning products, such as tutoring systems, simulations, hands-on environments, not just linear courses </li> </ul>   <h2>What makes this role exciting</h2> <ul> <li> Define great teaching for the AI era. You'll set what it looks like in a world where AI is part of how content gets made </li> <li> Pivotal moment, massive reach. Your work shapes how millions of people come to understand and use Claude and AI in general </li> </ul>  <div class="content-pay-transparency"><div class="pay-input"><div class="description">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.</div><div class="title">Annual Salary:</div><div class="pay-range">$290,000—$435,000 USD</div></div></div><div class="content-conclusion"><h2>Logistics</h2> 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 <a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a> directly for confirmed position openings. <h2>How we're different</h2> 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. <h2>Come work with us!</h2> 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 <a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</div>

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