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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.

Reporting into Partner Operations & Systems within Partner Experience, this role is the operations generalist behind the partner program — an ecosystem growing quickly, with volume growing faster and an operational layer still being designed.

The role has two anchors: intake — owning the front door for new process requests and building the intake process itself — and flexibility, serving as the generalist allocated to the most pressing operational issue at the time. You'll serve as the central hub for partner experience, working cross‑functionally with Finance, RevOps, Sales, Enablement, Product, and Legal to ensure seamless execution of partnership strategy.

• Own intake for new process requests: triage, scope, and prioritize needs across the partner organization and decide what gets built
• Design new partner operations processes from zero to one: stand up the workflow, documentation, and requirements, and iterate with data
• Build new AI automations with Claude: create and run Claude‑powered automations and AI workflows across partner operations, taking them from prototype to production and improving them with use
• Take on special operations projects: join small cross‑functional teams on priority initiatives
• Run the process and data side of registrations, referrals, incentives, applications, and onboarding, keeping the data decision‑grade
• Encode program policy in the systems: work with program owners so rules are enforced by systems, and own data hygiene for the partner record of truth
• Enable partners and internal teams: build the guidance partners, Partner Managers, and Account Executives need for new initiatives
• Collaborate across go‑to‑market: partner with Sales, Finance, Enablement, Marketing, and Revenue Operations to stay aligned with the business
• Measure what matters: establish service levels and report on volume, cycle time, and the metrics that show what to fix next

• 4+ years in management consulting or investment banking, ideally paired with 1–3+ years in business operations, partner/channel operations, product operations, or a comparable role at an AI, enterprise software, or technology company
• Strong project management ability with experience influencing cross‑functional operational initiatives
• Hands‑on experience creating AI workflows with Claude or similar tools, and comfort running and improving them at operational volume
• Experience with data analysis tools and reporting platforms (e.g., Hex, Looker, or similar)
• Analytical mindset with the ability to derive actionable insights from complex datasets

• Experience with deal registration systems, partner relationship management (PRM) platforms, and commission management tools
• Previous experience at an AI/ML or other fast‑scaling technology company
• Experience with partner or channel program design, including tiering and program benefits
• Hands‑on Salesforce experience, including reporting, data imports, and workflow configuration
• A track record of standing up operational processes, service levels, and reporting from scratch
• Experience on a tiger team or task force assembled to solve high‑priority problems quickly

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:

$170,000 — $215,000 USD

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.comemail 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.