SLSQ427R323
The Impact You Will Have
- AI-Driven Process Engineering – Design and deploy AI-assisted workflows and agents to automate territory design and account assignment
- Intelligent Headcount & Quota Execution – Reengineer the GTM headcount and capacity modeling processes that connect Finance, HR, and Sales data
- Next-Gen Planning Infrastructure – Move our infrastructure away from fragile, legacy spreadsheets and toward scalable code, automated data pipelines, and AI-prompt workflows that improve accuracy and speed up planning cycles
- Data & Tool Integration – Build lightweight integrations and automations that connect Salesforce, SQL databases, and internal Databricks tools to ensure real-time data flow
- 2–4 years of experience in Revenue Operations, Sales Operations, Data Analytics, or a highly technical strategy role—ideally within a fast-paced technology environment
- AI-Native Mindset – Proactive builder who regularly uses LLMs, API integrations, and code (Python/SQL) to automate tasks, and orchestrate complex prompts
- Data & Coding Fundamentals – Strong proficiency in SQL and Python (or similar scripting languages) to extract, clean, and manipulate large data structures. Experience with BI tools and the Databricks platform is a plus
- Process Automation Toolkit – Hands-on experience building automations or using workflow automation tools to connect disparate data systems
- A strong bias for action
- Thrives in ambiguity and a high-growth environment
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 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.
Skills Required
- 2-4 years experience in Revenue Operations, Sales Operations, Data Analytics, or technical strategy role
- Regular use of large language models (LLMs), API integrations, and code to automate tasks and orchestrate prompts (AI-native mindset)
- Strong proficiency in SQL to extract, clean, and manipulate large data structures
- Strong proficiency in Python or similar scripting languages for automation and data tasks
- Hands-on experience building automations or using workflow automation tools to connect disparate data systems
- Experience with BI tools and the Databricks platform
- Ability to thrive in ambiguity and a high-growth environment; strong bias for action
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
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.
