About this role
SLSQ427R538
The impact you will have:
Databricks' Sales Operations team is transforming how operational work gets done. We are shifting from manual, high-volume request processing to an AI-first operating model — where AI agents handle repeatable work autonomously and the team focuses on building, governing, and improving those systems. This role is central to that transformation.
You will own a portfolio of AI agent workflows that automate business-critical Sales Operations processes. You translate business requirements into agent designs, deploy them into production, monitor performance, and continuously improve them. You also lead systems improvement projects — diagnosing integration issues, fixing data quality problems, and coordinating solutions across platforms.
This is a cross-functional role partnering with Strategy, Planning, Finance, IT, and Data Engineering teams across our enterprise systems stack.
• Build and operate AI agents — translate operational SOPs into agent workflows; deploy, monitor, and fine tune agents that handle field requests autonomously
• Own an agent portfolio — manage a set of automated workflows end-to-end, including agent-to-human escalation paths and performance optimization
• Drive process and systems improvement — identify next workflows to automate; diagnose cross-system integration issues; lead data quality remediation
• Partner cross-functionally — gather requirements from Sales, Finance, IT, and Strategy stakeholders; influence Directors and Sr. Directors on automation priorities
• Support operational continuity — contribute to critical business processes including annual planning cycles
What we look for:
• 5–8 years in operations, systems administration, or business process automation — ideally in high-growth tech companies
• Systems fluency — understands APIs, data schemas, and integration patterns; knows how enterprise systems connect
• AI-native thinking — uses LLMs, agent platforms, and automation tools to solve business problems; strong judgment on when to automate vs. when manual oversight is needed
• AI agent deployment — hands-on experience building AI agents or automation workflows
• Process design — thinks in systems, not tasks; proven track record designing and improving operational workflows
• Cross-functional influence — comfortable gathering requirements across multiple teams and influencing Director-level stakeholders
• Bias for action — self-motivated; finds ways forward with AI tools rather than waiting to be unblocked
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of exper