AI Operations Engineer, Partnerships

🏢 Anthropic · 📍 San Francisco, CA 💰 $215,000 - $215,000 / yr

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Position Summary & Responsibilities

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

Our Partner Experience team is building an AI-native operating model. We already run a growing set of partner-facing systems: a partner portal, CRM workflows, enablement and certification platforms, and the trackers that connect them. The systems lead on our team owns that foundation — the portal, the data model, and the integrations that keep partner records accurate and flowing.

This role is the other half of that build. As our AI Operations Engineer, you'll design, build, and run the agentic workflows that sit on top of those systems: Claude-powered agents and automations that triage partner applications, draft and send partner communications, sync data across tools, surface deal and enablement signals, and take routine operational work off the team entirely. Where the systems lead builds the rails, you build what runs on them.

This is a builder role, not an analyst role. You'll ship working automations weekly, own them in production, and continuously expand what the team can do without adding headcount.

Key responsibilities:

Design and build agentic workflows (using Claude, MCP connectors, and API integrations) that automate core partner experience operations: application triage, onboarding, deal registration

🎯 Candidate Preparation Guide For Anthropic Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating candidates on extreme intellectual humility combined with rigorous mechanical safety, specifically testing how well you navigate high-ambiguity AI alignment and scaling challenges.

📋 Preparation Priorities (Key Areas to Clarify):

1. Using hype-driven buzzwords like 'AGI in 6 months' or dismissing safety guardrails as bureaucratic slow-downs.
2. Exhibiting arrogance or defensiveness when an interviewer pushes back on a system architecture design.
3. Lacking foundational systems-level debugging experience in distributed compute or large-scale data pipelines.

✨ Recommended Role Alignment Hook:

I build robust, interpretable AI systems by treating safety and capability as deeply coupled engineering challenges rather than competing constraints.

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