The opportunity
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.
What you'll do
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
What they're looking for
- + 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)
- Experience shipping internal AI tools or automations that are still running in production today
- Familiarity with the Claude API, Claude Code, or agent frameworks; building custom MCP servers is a plus
