SLSQ127R315
While candidates in Remote - San Francisco are encouraged for this role, candidates in other locations in U.S. will be considered.
You will lead the transformation of Databricks' sales operations as we expand our global salesforce by a factor of two over the next several years. Your job is to transform today's manual, high-touch processes into automated systems - so account splits, territory changes, and tool provisioning occur seamlessly without sellers having to chase anyone down. You'll own the sales ops roadmap end-to-end and manage a distributed team of contractors and employees across the U.S., Costa Rica, and India, supporting thousands of sellers. You report to the Senior Director of Go-to-Market Operations and partner closely with Sales, Finance, IT, and HR leadership.
We're open to candidates from non-traditional backgrounds. If you've been a seller, solutions engineer, or led shared services or go-to-market scale programs and tooling —we'd like to hear from you.
Own and execute the sales operations transformation roadmap, building automated systems that can support 2x growth in sellers globally
Operationalize our annual plan: partner with our planning and IT teams to turn territory design, consumption & commit quotas, capacity modeling, etc., into reality in our systems of truth (SFDC, Anaplan)
Design automation for high-volume workflows, including territory management, account assignments, compensation administration, and tool provisioning
Drive system implementations and manage the technology roadmap for sales operations tools (Salesforce, Anaplan, Xactly)
Lead cross-functional initiatives with Sales, Revenue Operations, IT, Finance, and HR to modernize infrastructure
Serve as a strategic advisor to VP-level sales leaders on operations strategy and resource planning
Build and develop a globally distributed team with a focus on AI-powered Scale, automation, efficiency, and service excellence
8+ years in strategy and operations, sales operations, revenue operations, field operations, or sales/pre-sales roles—with a track record of building operational excellence at scale
Experience leading business transformation at a high-growth technology company ($100M+ annual recurring revenue preferred)
Knowledge of annual planning, consumption-based models, and territory/quota design—whether from the field or an operations role
Hands-on experience with Salesforce
Working knowledge of planning tools (such as Anaplan), business intelligence platforms, and service ticketing systems (such as FreshService or JIRA Service Management)
Experience delivering complex programs in ambiguous, fast-moving environments
Experience managing distributed teams across multiple time zones
Proven bias to action and focus on delivery amongst uncertainty
Ability to advise and influence VP-level and above stakeholders
Experience at a hyper-growth company (3x+ revenue growth within 3 years)
Experience in leveraging AI to automate GTM employee jobs-to-be-done
Background as a seller, solutions engineer, or customer success manager
Experience in management consulting, investment banking, or corporate strategy
Familiarity with consumption-oriented GTM
Experience with Databricks or a similar platform as used within a GTM Operations framework
Experience with international operations (EMEA, APJ)
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.
Zone 1 Pay Range
$185,500—$255,100 USD
Zone 2 Pay Range
$167,000—$229,550 USD
Zone 3 Pay Range
$157,700—$216,800 USD
Zone 4 Pay Range
$148,400—$204,050 USD
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. --- Seniority level: Mid-Senior level Employment type: Full-time Job function: Sales and Business Development Industries: Software Development
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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.
Visit website$185,500 – $255,100
Base + Bonus · Other Equity
