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 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.