AI Operations Engineer, Partnerships

Job summary

Responsibilities

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.

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

What they're looking for

• Hands-on experience building with LLMs and agentic tooling: prompt and workflow design, tool/function calling, MCP or comparable integration frameworks, and evaluating agent…
• Experience working across APIs and business systems — CRMs (e.g., Salesforce), PRM/partner portals, LMS/certification platforms, spreadsheet-based tools, Slack, and email — and…
• 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

Tech stack

• Python