Role at a glance
- Salary
- Not Disclosed
- Location
- Singapore - Singapore
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years with consistent top-tier performance in enterprise environments (Fortune 500 / Global 2000).
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Role Summary
Databricks is seeking a sales leader to support its most complex customer opportunities across the APJ region. The role works with executives, customers, account teams, and field leaders to improve deal outcomes, accelerate platform adoption, and raise internal sales standards.
What You'll Do
- Own late-stage, high-value, multi-threaded deals where alignment is not established and execution must improve
- Engage CIOs, CDOs, and business leaders on data, AI, and platform transformation
- Bring structure to ambiguity, align stakeholders, clarify value, and compress decision cycles
- Coach Account Executives and field leaders in real time on deal strategy, qualification, and execution
- Translate wins into repeatable plays across EBCs, QBRs, All Hands, and global enablement forums
- Identify new buying centers, use cases, and paths to platform adoption across large, complex organizations
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Background in Data & AI organizations in highly strategic sales roles; experience leading large, complex, multi-year, multi-stakeholder deals; executive presence at the C-level; a strong, defensible POV on data platforms, AI, and enterprise transformation; ability to influence without authority; experience coaching high-performing sales teams; comfort operating across industries, ambiguity, and high expectations.
Required
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.