Own and improve AI agent workflows for Sales Operations at Databricks, focusing on automation and cross-functional collaboration.
Posted by employer 17 hours ago
First seen on Joblaze 7 hours ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
Must have
AI in the day-to-day
AI agents handle repeatable work autonomously and the team focuses on building, governing, and improving those systems.
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Associate I in Business Operations at Databricks focuses on managing AI agent workflows that automate key Sales Operations processes, ensuring they run efficiently and effectively. The position requires a strong understanding of systems integration, APIs, and data quality, along with hands-on experience in deploying automation solutions. Ideal candidates will have 5 to 8 years of experience in operations or business process automation, particularly within high-growth tech environments. This cross-functional role involves collaboration with various teams, influencing stakeholders to prioritize automation initiatives.
Joblaze insights
Quick facts
From the original posting
SLSQ427R538
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.
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 experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
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