SLSQ227R448
Databricks is assembling a small group of elite sales leaders to engage in our most complex, high-stakes customer opportunities. This role is built for individuals who have operated at the highest levels, leading transformation rather than just transactions. You will be deployed into Databricks' most critical accounts in APJ region and opportunities where executive alignment is fragile, deal velocity has stalled, or the path forward requires sharper thinking and stronger leadership. You will spend the majority of your time in the field with customers and account teams, with equal responsibility to elevate how we sell internally.
This is a 50/50 role:
- Externally: Shaping customer vision, guiding executives, and driving deal outcomes.
- Internally: Advising, coaching, and raising the standard of the field.
The primary objective is to make the existing account team better, faster, and more effective, not to override their efforts.
The impact you will have:
- Own the Hardest Moments – Step into late-stage, high-value, multi-threaded deals where alignment is not established and execution must improve.
- Operate at the Executive Layer – Engage CIOs, CDOs, and business leaders with a strong, credible point of view (POV) on data, AI, and platform transformation.
- Drive Deal Velocity – Bring structure to ambiguity, align stakeholders, clarify value, and compress decision cycles.
- Lead Through Influence – Earn trust quickly across both customers and internal teams; know when to push, when to align, and how to create movement.
- Elevate the Field – Coach Account Executives (AEs) and field leaders in real time, improving deal strategy, qualification, and execution standards.
- Scale What Works – Translate wins into repeatable plays across EBCs, QBRs, All Hands, and global enablement forums.
- Expand Enterprise Footprint – Identify new buying centers, use cases, and paths to platform adoption across large, complex organizations.
What we look for:
- Background in Data & AI organizations in highly strategic sales roles.
- 10+ years with consistent top-tier performance in enterprise environments (Fortune 500 / Global 2000).
- Experience leading large, complex, multi-year, multi-stakeholder deals.
- Executive presence with the ability to quickly establish credibility at the C-level.
- A strong, defensible POV on data platforms, AI, and enterprise transformation.
- Demonstrated ability to influence without authority across account teams, leadership, and partners.
- Experience coaching and elevating high-performing sales teams in live deal environments.
- Comfort operating across industries, ambiguity, and high expectations.
- High ownership, high standards, and low ego.
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.
Applicant Privacy Notice
Skills Required
- 10+ years in enterprise sales
- Experience with multi-stakeholder deals
- Ability to engage C-level executives
- Strong point of view on data and AI
- Experience coaching sales teams
- Comfort in ambiguous situations
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 are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
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Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
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.
