Scaled Account Manager
Anthropic
Scaled Account Manager
Anthropic
Builds Claude AI models with a focus on safety
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.
Nonprofits, universities and other mission-driven organizations do some of the hardest work in the world, usually with small teams and little technical capacity. As a Scaled Account Manager in Beneficial Deployments, you will be the person a named book of these organizations can rely on. You will own each customer relationship after the first conversation, including commercials, activation and the conversations that turn a new deployment into everyday use.
This role sits on the Scaled Sales team within Beneficial Deployments, the part of Anthropic that brings Claude to mission-driven organizations sooner and further than the market would on its own. You will work with little to no dedicated Customer Success support, so you are both the seller and the person who helps a customer get real value.
That is only possible if you work differently. You will use Claude to take on the short-horizon tasks that consume a book like this, and spend your time on strategic conversations. The role will also change. As we automate more of this work, the book will take less of your time, and that time moves to growth: deeper work with your highest-potential accounts, launches, events and programs that reach many more organizations. We are hiring someone who wants that: someone who will automate parts of their own job and move on to the next hard problem.
Own a named book of nonprofit and education customers. Take over existing relationships and run them end to end: retention, seat growth, plan moves and new contacts inside each organization.
Drive activation yourself. Help priority customers in the segment go from purchased seats to weekly use, starting with where staff lose the most time: fundraising, grant writing, reporting and program operations at nonprofits, or research support, teaching and administration in higher ed.
Automate your own work. Use Claude to handle account research, follow-ups, usage reviews and routine questions, then share what works so the whole team can use it.
Spend your time on strategic conversations. Work with executive directors, operations leads, and IT and academic leaders at universities to find the use cases that matter to their mission and agree what success looks like.
Spot who is ready for more. Identify customers moving from individual productivity toward redesigned workflows, build the case, and bring in Applied AI or other specialists when they qualify for deeper support.
Build programs, not one-offs. When ten customers have the same problem, create a playbook, webinar or cohort that solves it once.
Be the voice of your book. Bring what you hear to Product, Marketing, Support and Operations, and work across those teams to get customer problems fixed.
The role starts mostly account-facing. Over roughly the first six months, we expect Claude to take on much of the routine work, and your time shifts toward growth. Examples of where it goes:
Deeper with priority accounts. Spend real time with the 10 to 15% of your book that can move from individual productivity to redesigned workflows, and get them there.
Quarterly launches. Beneficial Deployments brings new offerings to the nonprofit and education community each quarter. Help drive them: coordinate across Marketing, Comms and partner teams, and make sure your customers benefit.
Events. Help shape and run the events, local and eventually international, that become a core part of how we reach new organizations.
New signups and scaled partnerships. Contribute to the motions that bring new organizations onto Claude, including partner channels and programs for segments we don't yet serve well.
The exact mix will change, and you will help decide it. Part of the job is working out which tasks should be automated and which still deserve a person's time.
3+ years of account management or customer success experience with nonprofit or higher education customers, with a proven track record of growing retention and driving adoption of new technology
Have owned customer relationships in an account management or customer success role, and can point to accounts you grew, retained or turned around
Use AI in your own work today, and can show a workflow you built that gave you real time back
Bring structure to unfamiliar problems, and can move from a messy situation to a clear plan quickly
Have run multi-step programs or projects with several stakeholders and kept them on track
Have got things done through people you did not manage, across teams in a larger organization
Stay effective when your job changes, and would see automating part of your role as a win
Can explain AI plainly to people who are skeptical, busy or new to it
Care about the mission of nonprofits and educational institutions, and about AI being developed and deployed safely
Have built something from zero, such as a company, a product, a sales motion or a new program, or been an early employee at a startup
Have a consulting background, with experience across many sectors and problem types
Have worked at an AI-native company or sold AI products, or moved from business development into owning accounts
Have worked in or with nonprofits, foundations, Universities or other mission-driven organizations
Understand how nonprofits and universities buy, including boards, funders, procurement cycles and tight budgets
Have used usage data to prioritize a large book of accounts
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.
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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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.
Annual Salary: 222800 - 290000 USD
Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.
Explore more opportunities at Anthropic