CSQ326R380
About the Team:
The Databricks Professional Services team accelerates our customers' outcomes and platform adoption through expert delivery, enablement, and innovation. As our customers scale their use of the Databricks Data Intelligence Platform, our mission is to guide them through the evolving data and AI landscape with speed, precision, and strategic insight. Our team includes architects, data scientists, engagement managers, and program leaders united by the pursuit of excellence, and the desire to build the most capable Data and AI services team in the industry.
The Impact You Will Have:
We are hiring an AI Tooling Program Engineer to lead the discovery, development, and rollout of AI tools across the Databricks Professional Services (PS) organization. This is an ideal opportunity for someone passionate about how AI can change how we work, with strong technical foundations, curiosity about the AI ecosystem, and a desire to drive innovation in real-world workflows.
Working alongside PS practitioners, you will help identify automation opportunities, prototype AI-powered solutions, and support implementation and adoption across teams. This is a high-growth, high-learning role that offers hands-on experience with one of the fastest-moving areas in enterprise software.
Tooling Development & Support
- Assist in identifying use cases where AI can improve PS operations and delivery
- Build early-stage POCs using Python, SQL, and Databricks tools
- Research and test third-party tools and APIs that can complement internal development
- Help create documentation, guides, and onboarding materials for tools in use
Program Support & Execution
- Partner with cross-functional team members to roll out tooling across the organization
- Support internal testing, user feedback collection, and prioritization of improvements
- Help track usage and impact metrics for tooling success
What We Look For:
- Recent degree in Computer Science, Engineering, Data Science, or a related field
- Comfort with Python and SQL; experience with notebooks and basic ML concepts is a plus
- Curiosity about AI and an eagerness to learn and experiment with emerging technologies
- Strong collaboration skills and the ability to communicate clearly with both technical and non-technical audiences
- Enthusiasm for building things that solve real problems for teams
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 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 anticipates 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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
