Synced from Greenhouse · Jul 1

Sales Advisor

DatabricksSingaporePosted Jul 1, 2026
Account ExecutiveExecutive
Apply nowSave & get alerts

Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

887
Other open Databricks roles
Jul 1
Posted
Greenhouse
Applicant system
Job descriptionReq 8479029002

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits within minutes of a role going live, and tracks every application in one place.

Set up in minutes · Cancel anytime · No contract

Keep exploring

What this role pays, where else it is open, and how to write the application.

Sales Advisor
Databricks · Singapore
Apply