Automation & Intelligent Operations Lead

6-8+ years in automation/AI operations, RevOps, or product-oriented ops, delivering rules/ML/LLM-powered workflows in production. Hands-on with workflow automation and API integrations across HubSpot and Jira (webhooks, automation rules, custom fields/properties, status transitions). Familiarity with LLM/RAG patterns (prompting, evaluation, guardrails) and experimentation methods (offline eval sets, shadow/A-B testing, post-launch monitoring). Ability to translate ambiguous business rules into robust, testable logic with controls; comfort instrumenting telemetry and operational metrics in HubSpot/Jira. Strong cross-functional leadership with Product/Engineering/Data; clear technical writing and runbook discipline; PM skills for planning, risk management, and delivery.

Lead the triage automation lifecycle: translate business rules into models/workflows, define precision/recall targets, build evaluation datasets, and run tests; implement human-in-the-loop review in Jira. Partner with Product/Engineering on CPQ: encode rules/guardrails, define acceptance criteria, validate pricing/packaging logic, and instrument telemetry; integrate with HubSpot. Implement and continuously improve the RFI–RFP assistant: retrieval quality, prompt/guardrail management, audit logs, and performance benchmarks. Build lightweight automations for Delivery ops: Go-Live checklisters, MPAD validators, Guru freshness bots, SLA breach alerts; integrate via APIs/webhooks. Define reliability SLOs, incident response, and roll-back plans for automations; pipe telemetry to dashboards. Maintain technical runbooks; drive an automation roadmap tied to ROI and OKRs; apply PM skills to scope, deliver, and iterate automation projects.