Customer and Product Solutions Engineer, GenAI
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You'll build and operate AI agents that automate Sales Operations workflows, translating business requirements into deployable systems and continuously optimizing their performance. The role requires 5–8 years in operations, systems administration, or business process automation, plus systems fluency with APIs and enterprise integrations and hands-on experience deploying AI agents. You'll partner cross-functionally with Sales, Finance, IT, and Strategy teams to drive process improvements and manage an evolving portfolio of automated workflows. Pay ranges from $100,000–$171,950 USD depending on location.
Written from this posting by Neural Jobs AI. The full description is below.
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
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Databricks builds the Data Intelligence Platform, a lakehouse architecture that unifies data warehousing, analytics and machine learning on open formats. The company originated Apache Spark, Delta Lake and MLflow.
Founded in 2013 by the creators of Spark at UC Berkeley, Databricks serves enterprises building data pipelines, analytics and AI applications at scale.
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