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Databricks

Builds cloud software for data analysis and AI

Global Sales Leader

Account ExecutiveConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listedIn-person

About the Job

Requirements

  • At least 15 years of experience in enterprise software, SaaS, cloud platform, or developer platform sales.
  • At least 5 years of experience leading high-performing enterprise sales or specialist teams.
  • Demonstrated success building new categories or scaling new product businesses.
  • Previous sales experience in fast-paced, innovative start-up companies in domains such as cowork, search, AI/BI, and conversational AI.
  • Strong understanding of modern application architectures, including application programming interfaces, microservices, real-time systems, and distributed applications.
  • Experience selling into CIO, CTO, architecture, and platform engineering organizations.
  • Ability to lead complex multi-stakeholder enterprise sales cycles.
  • Proven record of exceeding revenue targets in highly competitive markets.
  • Ability to translate technical platform capabilities into business value for executives and developers.
  • Excellent communication and executive presentation skills.

Responsibilities

  • Build and exceed quarterly and annual consumption and booking targets for Genie.
  • Develop pipeline across legacy business intelligence migration, AI-driven business intelligence, and enterprise-wide data access opportunities.
  • Help customers replace or modernize legacy business intelligence tools and point solutions by establishing Databricks as their primary conversational analytics platform.
  • Establish repeatable sales plays that drive land-and-expand adoption.
  • Recruit, hire, and develop a high-performing team of Genie Sales Specialists.
  • Coach the team on complex deal strategy, technical qualification, and executive engagement.
  • Create a culture of accountability, customer focus, and operational excellence.
  • Partner with regional sales leadership to integrate specialists into account plans and territory strategies.
  • Establish executive relationships with corporate executives, CIOs, CTOs, Chief Architects, platform leaders, and technical decision-makers.
  • Position Databricks as an application data platform in addition to a data and AI platform.
  • Support strategic customers pursuing application modernization or real-time digital transformation initiatives.
  • Collaborate with cloud providers, systems integrators, and independent software vendors to accelerate adoption.
  • Act as the voice of the field to Product and Engineering teams by providing structured feedback on customer requirements, competitive dynamics, and market adoption patterns.
  • Partner with Product Marketing to refine messaging, positioning, and competitive differentiation.
  • Help shape Databricks’ long-term AI/BI and enterprise data intelligence platform strategy.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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