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Key details
Why this role is notable
Anthropic is building a formal, two-track reseller machine (hyperscaler marketplaces and direct resale on its own paper) across AWS, Google Cloud and Microsoft, signaling that distribution through cloud partners is now a core go-to-market pillar that needs dedicated operations infrastructure.
Job Description
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
Resellers are a major route for organizations to buy Claude. Our reseller program runs across two motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. Each motion brings its own agreements, systems and cloud counterparts, and the program is expanding across regions at the same time.
As our Resale Operations Lead, you will run resale operations: how resellers get authorized, transact, get reported on, get paid and get supported, across both motions and every live cloud. The resale business team sets the strategy and the commercial framework. You will build and run the processes, playbooks and team that put that framework into practice, and keep them reliable as volume grows.
This is an operator and builder role, not a partner manager role. You will be hands-on in the detail of a private offer or a partner quote while you build the team, the vendor coverage and the Claude-powered automation that keep resale operations from growing in line with partner count.
Reporting to Head of Partner Operations and Systems · San Francisco or New York based
What you'll do
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Lead the resale operations team: set priorities, coach the reseller operations managers, and keep every region on the same playbooks rather than a set of local processes.
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Build the resale runbook and launch kit across AWS, Google Cloud and Microsoft, so that authorizing, onboarding and supporting a reseller works the same way wherever it can, and each new cloud comes online from the kit.
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Run hyperscaler resale operations: marketplace authorizations and private-offer processing with the cloud alliance teams, and operational escalations with AWS, Google Cloud and Microsoft, raised through the cloud alliance teams.
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Stand up direct resale operations: partner quotes in Salesforce CPQ, order forms, booking and provisioning, and commit tracking and true-ups, working with Deal Desk, Commercial Operations, Finance and Tax.
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Operate the program rules as controls that can actually run: deal registration to the published policy, eligibility checks, margin and rebate data, and the unauthorized resale process. Flag early what cannot be operated yet.
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Own the reseller transaction data, so that every reseller transaction traces to an end customer under the attribution rules Partner Strategy and Operations governs, partners are paid accurately and partner-sourced revenue can be measured.
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Scale through vendors and Claude: propose which resale work moves to outsourced teams or to Claude, run the vendor team's resale scope to a stated quality bar, and build automations with human checkpoints where a wrong decision carries risk.
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Run resale on a scorecard: application decision time, registration cycle time, attribution coverage, payout accuracy and launch readiness. Use it to tell the team and leadership what to fix next.
What might make you a good fit
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Channel, reseller, distribution or partner operations experience at a technology company, including managing a small team.
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Hands-on depth in both motions: cloud marketplace resale (authorizations, private offers, deal registration) and direct or contract-based resale (quote-to-order, partner billing).
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A track record of building a resale or channel operations process from an early stage and running it as volume grew.
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Fluency in order-to-cash, including Salesforce CPQ or a comparable tool and the Finance, Deal Desk, Legal and Tax coordination that comes with it.
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Experience managing outsourced or vendor teams: scope, service levels, quality sampling and performance feedback.
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Sound judgment while the program is still moving. You can make the call with incomplete information, hold a control under pressure from sales or a partner, and keep the relationship intact.
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A builder's mindset and clear writing. You use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it.
Strong candidates may also have
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Experience on the partner or marketplace side of a hyperscaler, or in operations at a major distributor.
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Experience running partner rebate, margin or incentive operations, or launching a resale program in EMEA or APAC.
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Familiarity with the Claude API, Claude Code or MCP.
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.
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.
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.
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.
