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

The Partner Experience team builds and runs the Claude Partner Network: the program, operations, and infrastructure through which thousands of partners build, sell, and deliver on Claude. We are scaling from a founding team toward ambitious targets, and the systems layer is the foundation everything else stands on.

As Partner Business Systems & AI Operations Lead, you own that foundation. You are responsible for the Salesforce partner data model, the partner platform stack, the integrations between them, the data quality standard that makes the source of truth trustworthy for every team that depends on it — and the AI-powered automation layer that turns that foundation into leverage. You will spend as much time building agentic workflows and AI-augmented processes as you will administering systems.

Responsibilities:

• Own the Salesforce partner data model end to end, including the Account object schema, custom fields, picklist governance, validation rules, and record types. Work in close coordination with Revenue Operations and Enterprise Systems, who own the broader Salesforce org, to manage change on partner-specific objects within that shared environment.
• Administer the partner platform stack, including the partner portal, the Skilljar-to-Salesforce integration, the partner dashboard, and the access and entitlement layer that determines what partners see based on tier and status.
• Define and own the partner data quality standard. Establish completeness and accuracy checks, build the monitoring, and run remediation so that Partner Strategy and Operations receives a clean, documented dataset on a defined cadence. Partner Strategy and Operations owns the warehouse, BI layer, and executive reporting; this role guarantees the source they build on.
• Partner with the Business Process Manager to instrument every partner process so that process health is queryable, including cycle times, queue depth, and SLA adherence. They design the process; this role makes it executable and measurable in tooling.
• Run access and configuration governance for partner systems, including change management on the partner object, sandbox-to-production discipline, and permission-set hygiene, working with Legal and Security on portal access governance and partner data handling requirements.
• Build and operate the AI automation layer across the partner workflow stack — agentic workflows, LLM-driven triage and drafting, automated QA, and Claude-powered internal tooling — to absorb operational work that would otherwise require additional headcount.
• Identify high-volume, judgment-heavy partner ops work (application screening, support triage, comms drafting, data hygiene) and convert it into AI-augmented or fully automated processes, measured by cycle-time and human-touch reduction.
• Set the bar for how the partner systems org uses AI internally, including evals, guardrails, and reviews, so that automation gets shipped responsibly and the failure modes are understood before they reach a partner.

You may be a good fit if you:

• Have five or more years in revenue systems, partner systems, or business systems roles with hands-on Salesforce administration or architecture experience.
• Have owned a data model that other teams depended on and understand what it takes to keep a shared source of truth reliable.
• Can translate a program rule into a schema, a validation rule, and an entitlement flow without a detailed specification.
• Have integrated Salesforce with at least one LMS, PRM, or partner portal product.
• Work well in high-ambiguity, high-ownership environments and bias toward shipping over perfecting.
• Have hands-on experience building with LLMs or AI agents — prompt engineering, evals, agentic workflows, or wiring an LLM into a production process — and treat AI as a tool to deploy, not a topic to discuss.
• Are fluent with workflow automation tools (Zapier, n8n, Workato, Make, or similar) and can stitch systems together without waiting for engineering.

Strong candidates may also have:

• Salesforce Administrator or Platform App Builder certification, or experience with Experience Cloud or a PRM such as Impartner or Salesforce PRM.
• SQL fluency for data quality checks and ad hoc analysis.
• Prior partner program or channel operations experience.
• Experience standing up a data quality program from the ground up.
• Shipped an AI-powered or LLM-driven workflow into a production ops environment — bonus if it replaced meaningful human work.
• A working point of view on where AI helps and where it doesn't in business operations, informed by hands-on experimentation rather than theory.

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:

$215,000—$300,000 USD

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.

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