AI Operations Engineer, Partnerships en Anthropic

San Francisco, CA

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Anthropic is a public benefit corporation headquartered in San Francisco focused on building reliable, interpretable, and steerable AI systems. This role, part of the Partner Experience team, involves designing and building agentic workflows using Claude and other integrations to automate partner operations, collaborating closely with systems leads, and owning the operational health of deployed automations. The position offers competitive compensation, benefits, equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office environment.

Requirements

Skills

  • Hands‑on experience building with LLMs and agentic tooling: prompt and workflow design, tool/function calling, MCP or comparable integration frameworks, and evaluating agent output quality
  • Experience working across APIs and business systems — CRMs (e.g., Salesforce), PRM/partner portals, LMS/certification platforms, spreadsheet‑based tools, Slack, and email — and scripting the glue between them in Python or JavaScript
  • Strong judgment about automation risk: knowing which steps an agent can own outright, which need a human checkpoint, and how to design for graceful failure
  • Process instincts: ability to look at a messy manual workflow, find the actual bottleneck, and redesign it rather than just automating it as‑is
  • Clear written communication; documents what you build so it outlives you
  • 5+ years in operations engineering, solutions engineering, business systems, RevOps, or a similar build‑heavy role, ideally supporting a partner, sales, or customer success organization
  • Experience in partner/channel operations specifically (deal registration, MDF/co‑sell programs, partner tiering, certification pipelines)

Responsibilities

  • Design and build agentic workflows (using Claude, MCP connectors, and API integrations) that automate core partner experience operations: application triage, onboarding, deal registration, certification tracking, partner communications, and reporting
  • Partner closely with our systems lead to integrate these workflows with the partner portal, CRM, enablement stack, finance systems, and database systems — consuming and writing back to the systems of record rather than creating shadow processes
  • Turn recurring manual work into reliable, monitored automations: define the workflow, build it, test it against real cases, add guardrails and human‑in‑the‑loop checkpoints where decisions carry risk, and document how it runs
  • Own the operational health of what you ship: error handling, edge cases, escalation paths, and iteration when partner processes change
  • Prototype fast with the team: sit with partner managers, find the highest‑friction workflows, and get a working v1 in front of them in days, not quarters
  • Establish reusable patterns (skills, prompts, connectors, playbooks) so each new workflow is faster to build than the last, and teach the broader team to self‑serve on the simple ones

Technologies

ClaudeMCP connectorsAPI integrationsLLMsprompt and workflow designtool/function callingSalesforcePRM/partner portalsLMScertification platformsspreadsheet‑based toolsSlackemailPythonJavaScriptagentic tooling

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