Synced from Greenhouse · Sep 4

Strategic Enterprise Account Executive

DatabricksNew YorkPosted Sep 4, 2026
Enterprise Account ExecutiveSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

$312k–$428k
Compensation
865
Other open Databricks roles
Sep 4
Posted
Greenhouse
Applicant system
Job descriptionReq 8770526002

SLSQ427R453

As a Strategic Enterprise Account Executive covering NYS and New York City, you will carry a dual mandate: grow and protect a large high consumption install base while simultaneously building new business and acquiring net new logos across the region. This position requires someone who can operate with equal discipline in two fundamentally different motions and manage their time with intention. 

The account management side of this role demands deep domain fluency and multi-stakeholder orchestration within complex, high-value customers. The new business side demands prospecting rigor, pipeline generation and the ability to open doors in agencies where Databricks has no existing footprint. The ideal candidate is a strategic sales professional with 15+ years of experience selling to this market. You are based there, you know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and system integrators. 

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their agencies need to gain first-mover advantage in today’s landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Strategic Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks in New York.. Along with the chance to close exciting deals, we also offer accelerators above 100% quota attainment.

The impact you will have:

  • Manage complex sales cycles and present to C-level executives. 
  • Exceed activity, pipeline, and revenue targets
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution-based approach to selling and creating value for your customer
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark™
  • Ensure 100% satisfaction among your existing customer base
  • Prioritize strategic opportunities and apply appropriate resources

What we look for:

  • You have previously worked in an early-stage company, and you know how to navigate and be successful
  • Field sales experience within big data, Cloud, or SaaS sales
  • Experience managing large, complex State and Local accounts is preferred. 
  • Prior customer relationships in the region
  • Strong executive presence and the ability to engage credibly with Commissioners, CFO’s, CIOs and Program Leaders. 
  • 15+ years experience exceeding sales quotas
  • Success closing new accounts while working existing accounts
  • Understanding of Spark and big data preferable
  • Passion for cloud technologies
  • Bachelor's Degree




 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates 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
$311,600$428,450 USD

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.

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Strategic Enterprise Account Executive
Databricks · New York
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