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SLSQ227R442
The Manager, GTM Planning supports Databricks’ global go-to-market planning and execution. In this role, you will operate at a global scale, owning critical planning workflows across territory and account assignment, quota calculations, and headcount management. You will not only run core processes but continuously improve them by bringing rigor, automation, and a data-driven perspective to each planning cycle.
Global territory & account assignment - Design and optimize workflows that deliver decision-ready outputs trusted by sales leadership while reducing manual effort
End-to-end GTM headcount execution - Accelerate time-to-hire by removing bottlenecks, modeling budget trade-offs, and reconciling positions across Finance, Talent Acquisition, and Sales
Scalable planning infrastructure - Build repeatable templates and processes that reduce manual effort and improve planning accuracy over time
Cross-functional partnership - Drive alignment across Sales, Finance, HR, and Sales Operations to resolve data discrepancies, align assumptions, and manage planning exceptions
AI & Process Automation - Identify opportunities to automate repetitive tasks, improve data quality, and shorten planning cycles
7+ years of experience in GTM planning, Sales Operations, Revenue Operations, or Strategy & Operations within an enterprise technology company
Deep, hands-on experience with territory design, quota setting, capacity modeling, and/or headcount management
Strong proficiency in Salesforce reporting, SQL, and BI tools (e.g., Databricks, Tableau), with the ability to independently extract, transform, and analyze large datasets
Advanced Excel or Google Sheets modeling skills, including building and maintaining complex planning models used by senior stakeholders
Proven ability to collaborate across global time zones, particularly with teams in the US, EMEA, and APJ
Demonstrated use of AI tools to improve productivity, including building lightweight automations, prompt workflows, or data transformations
Strong bias for action and continuous process improvement - you see a manual process and immediately think about how to make it better
Comfort operating with ambiguity in a fast-moving, high-growth environment where planning requirements evolve quickly
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.
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.
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.
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 provides a unified cloud platform for data analytics and artificial intelligence, enabling enterprises to manage data pipelines, data warehousing, and machine learning workloads. The company serves data engineers, data scientists, and analysts across various industries who need to build and deploy AI applications at scale.
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