Associate I, Business Operations

USCA · Chicago · 5-8 years experience · Posted Oct 2, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Databricks is seeking an Associate I, Business Operations to own a portfolio of AI agent workflows that automate business-critical Sales Operations processes.
The role involves translating business requirements into agent designs, deploying them into production, monitoring performance, and leading systems improvement projects.
This is a cross-functional position partnering with Strategy, Planning, Finance, IT, and Data Engineering teams across the enterprise systems stack.

Build and operate AI agents by translating operational SOPs into agent workflows, and deploy, monitor, and fine tune agents that handle field requests autonomously.
Own an agent portfolio by managing a set of automated workflows end-to-end, including agent-to-human escalation paths and performance optimization.
Drive process and systems improvement by identifying next workflows to automate, diagnosing cross-system integration issues, and leading data quality remediation.
Partner cross-functionally to gather requirements from Sales, Finance, IT, and Strategy stakeholders and influence Directors and Sr. Directors on automation priorities.
Support operational continuity by contributing to critical business processes including annual planning cycles.

5–8 years in operations, systems administration, or business process automation — ideally in high-growth tech companies.
Systems fluency with an understanding of APIs, data schemas, and integration patterns, and how enterprise systems connect.
AI-native thinking using LLMs, agent platforms, and automation tools to solve business problems, with strong judgment on when to automate vs. when manual oversight is needed.
Hands-on experience building AI agents or automation workflows for AI agent deployment.
Process design experience thinking in systems, not tasks, with a 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, being self-motivated and finding ways forward with AI tools rather than waiting to be unblocked.