About this role
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
Anthropic’s Beneficial Deployments accelerates the work of organizations doing some of the world's most important under-resourced work: nonprofits, education institutions, scientific researchers, and organizations advancing economic mobility. Millions of organizations qualify, but only a small fraction will ever talk to a salesperson. All of them face the same problem: mission-critical work, structurally under-resourced, and very little slack to figure out new technology on their own. That gap is what this role exists to close.
You will serve these audiences whether or not a given organization ever generates revenue. Reach comes first, and commercial results follow from it. That ordering is deliberate, and it is the defining feature of the job: a nonprofit, school, or lab that adopts Claude to drive more of its mission is a win on its own terms, and you'll be measured on creating that value at scale. Where an organization does show real depth of adoption, the systems you build route it to the right direct sales team.
You are the go-to-market lead for the scaled Beneficial Deployments ecosystem, specifically the full PLG sales experience around it: the offers themselves, the skills and plugins these organizations rely on, the ecosystem partners who extend our reach, and the funnel that carries an organization from first signup to real adoption. You think about these audiences as one ecosystem rather than a list of accounts, and you are the single accountable owner for the longtail's experience, funnel, and results globally.
You'll serve it one-to-many: programs, partnerships, and community and lifecycle motions that reach organizations at a scale direct selling can't.
You are also half commercial thinker, half builder. Much of this motion will run as automation you design yourself — deployed, verifiable agentic workflows for activation, education, and expansion: specifying them with domain experts and our applied AI teams, building the evals, and running the feedback loop that improves them over time. The closest existing discipline is GTM engineering, specifically its activation half: you build the plays that reach and move organizations, on top of a data foundation the product team owns. What's unusual is the seat — you own the whole ecosystem's strategy, not a queue of requests.
You'll work in lockstep with the product manager for this space, who owns the purchase path, the program mechanics, and the systems and instrumentation underneath. You own the longtail across every scaled audience: its strategy, its community, its programs, and its results.
This role does not have direct re