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Enterprise Community Lead

San Francisco, CA

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.

About the role

The Enterprise Community Lead is the owner of Anthropic's enterprise community function: the set of programs that organize the practitioners inside our most important accounts, activate them as internal advocates, and connect them into educational peer communities. You'll define this motion for Anthropic — the portfolio of programs, the operating model, the cross-functional system, the metrics that tie it to the business — with the goal of driving production adoption and usage.

You'll join the Community team within Anthropic's Enterprise Marketing organization and own the enterprise community function end to end: strategy, program design, member experience, operations, cross-functional coordination, and measurement. The team operates as a hub-and-spoke model with regional and functional leads; you'll be the functional owner of the enterprise community motion, sitting at the intersection of Sales, Customer Success, GTM, and Product.

Key responsibilities

  • Own the enterprise community strategy: the thesis, the portfolio of programs, the maturity model, and the roadmap from zero to global scale
  • Bring the playbook from companies that have done this well and adapt it to Anthropic's product portfolio, customer base, and GTM motion
  • Stand up and scale Claude Champions: identify and recruit power users inside strategic accounts, design recognition give/gets, build vertical cohorts, and operationalize structured Champion-led outputs that measurably drive adoption of Claude Code, Cowork, and future products
  • Partner closely with AEs and CSMs to build the operating models for champion sourcing, train-the-trainer motions, and account-plan integration.
  • Run the day-to-day engine for the programs you build: member lifecycle, programming rhythm, platform and chapter structure, and the feedback loops that route learnings, requests, and references back to Product, Marketing, and Sales
  • Define the measurement framework and reporting that ties community activity to business outcomes: seat activation, usage growth, expansion, retention, reference and advocacy supply
  • Evaluate, propose, and launch new plays beyond Champions as the function matures: vertical cohorts including in regulated verticals, customer-led groups, practitioner recognition, internal community-of-practice enablement at customer orgs

Minimum qualifications

  • Have built and scaled customer community, champions, or advocacy programs at enterprise SaaS or developer tools companies, and can point to the business outcomes they drove
  • Have defined the motion, not just executed someone else's playbook: you've taken a company from zero on practitioner community and built the strategy, the operating model, and the team
  • Bring strong, earned opinions about what makes these programs work, including the give/get structures that keep champions engaged long term
  • Understand how enterprise GTM works, and are comfortable operating across Sales, Customer Success, Product, and Marketing
  • Have run cross-functional programs where you don't own most of the inputs and still make them feel cohesive
  • Are equally comfortable in a spreadsheet, a strategy review, and a DM conversation with a Champion that makes them feel seen 
  • Can build trust with technical practitioners, write clearly, and hold a room with both a Staff engineer and executives
  • Are energized by ambiguity and building from scratch

Preferred qualifications

  • Built or led a recognized champions or advocacy program at companies known for the model
  • Experience with bottoms-up, product-led, or community-led growth motions inside an enterprise sales org, ideally including the transition from PLG to enterprise
  • Background in community, customer marketing, customer advocacy, customer education, customer enablement, or developer relations, with the operational depth to go beyond content production
  • Experience with developer tools, AI products, or both
  • Experience standing up a function — not just a program — from zero in a high-ambiguity, high-growth environment
  • Familiarity with the tooling that makes these programs run: Slack, community platforms, advocacy platforms, CRM workflows, and the operational glue between them

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.

Annual Salary:

$1 - $2 USD

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.

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