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.
Anthropic's customers renew on a mix of committed and consumption contracts, and the number of renewals is growing faster than any team of people could keep pace with. We don't want to answer that by hiring hundreds of renewal managers. We want renewals to run as a system: Claude and agents do most of the work, from spotting risk to drafting the offer to closing a standard renewal in product, and people step in where judgment, negotiation or relationships matter.
You'll design, build and run that system. You'll own the renewal outcome for the business globally and the product and technology that delivers it. You'll lead a small team of builders and the human layer, internal specialists and outsourced partners, that handles what agents can't yet. You'll work closely with Sales, Customer Success, Deal Desk, Finance, Billing and Product Engineering.
This is a Claude-first role. You'll use Claude every day to do your own work, and the renewal function will be one of the clearest examples inside Anthropic of what AI-run operations look like.
What you'll own in your first year- The design of the renewal system: which work agents run end to end, which work goes to a person, and the handoff rules between them.
- A standard renewal that needs no person: a Claude-generated offer in product ahead of term end, accepted and provisioned automatically, with anything outside guidance routed to a seller with a recommended quote.
- The data the system runs on: contract, commit burndown and usage data clean enough that agents and people trust it, built with Billing and Finance.
- Early-warning signals for consumption risk and commitment shortfall, and what happens when one fires.
- The human layer: how internal specialists, outsourced partners and account teams work around the agents, and the measures they're held to.
- The next large renewal cycles, run with fewer manual steps per renewal than today.
- Weekly renewal and retention forecasts grounded in usage and contract data.
- Executive renewal conversations on the largest and most complex accounts, alongside account teams.
- Owned renewal, retention or post-sale outcomes at large scale, either running the function or leading the product or service that runs it for others.
- Led product or engineering teams and shipped software or agents that took over work people used to do.
- Run or designed a blended model of people, outsourced partners and software, and know where each one breaks.
- A working grasp of renewal economics: committed and consumption contracts, discount guidance, and the term, billing and CRM data behind them.
- Built things yourself recently. You can prototype with Claude, read the data and pressure-test an agent's output without waiting on someone else.
- Set direction with senior executives and held cross-functional teams to it without direct authority.
- Usage-based pricing and commit burndown experience.
- Built health, churn or early-warning models that changed what teams did.
- Worked at a company whose product runs renewals, retention or quote-to-cash for its customers.
- Worked across regions, including marketplace or cloud-partner billing.
- Written or spoken publicly about agent-led customer operations.
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.
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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