Partner Business Systems & AI Operations Lead

Anthropic•San Francisco, CA

1d•$215,000 - $300,000•Hybrid

About The Position

The Partner Experience team builds and runs the Claude Partner Network, encompassing the program, operations, and infrastructure that enables thousands of partners to build, sell, and deliver on Claude. As the team scales, the systems layer is critical. The Partner Business Systems & AI Operations Lead is responsible for this foundation, including the Salesforce partner data model, the partner platform stack, their integrations, and maintaining data quality. A significant part of the role involves building agentic workflows and AI-augmented processes to leverage this foundation, rather than solely administering systems.

Requirements

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.

Nice To Haves

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.

Responsibilities

Work with the Revenue Systems team on 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 and maintain the Salesforce org, to manage change on partner-specific objects within that shared environment.
Administer the partner platform stack, including the partner portal, partner dashboards, 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.