Synced from Greenhouse · Oct 22

New Business Enterprise Account Executive (Public Sector)

DatabricksLondon, United KingdomPosted Oct 22, 2026
Enterprise Account ExecutiveSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Oct 22
Posted
Greenhouse
Applicant system
Job descriptionReq 8899931002

SLSQ128R110

Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks.

Reporting to the Head of Public Sector - Growth, you’ll partner with a team of accomplished Data, AI and industry specialists. Your mission is to drive the adoption of Databricks across a select group of Public Sector organisations. We’re looking for a proven Enterprise Account Executive to deliver net-new strategic business, bringing an informed point of view on Data and Advanced Analytics. Your insight will shape winning strategies and together with our teams and partners enable you to deliver exceptional value to customers. 

The impact you will have:

  • Assess your accounts and develop a strategy to engage all buying centres, driving deals forward and shortening decision cycles
  • Use AI tools every day to speed up account research, prepare for meetings and plan deals. You'll build with the Databricks platform yourself, so you understand what customers experience.
  • Use a solution-led approach to create meaningful value for new logo accounts
  • Identify and close quick wins while managing longer, complex sales cycles
  • Own a defined list of prospects in UKI and build strategies targeting all critical stakeholders. Build and self-source your own pipeline, and run the full sales cycle from first prospecting to close, keeping your pipeline clean and well maintained
  • Support broader customer transformation goals through strategic partnerships, well-scoped services, training, and targeted Executive engagement
  • Build strong value throughout the sales process to guide successful negotiation
  • Orchestrate cross-functional teams to maximise impact across your ecosystem
  • Own the consumption narrative, using demand plans to surface high-value use cases in each account
  • Stay customer-centric by delivering both technical and business outcomes through the Databricks Intelligence Platform
  • Comfortable joining technical conversations alongside Solutions Architects, and able to position Databricks clearly against competitors (technical knowledge can be developed)

What we look for:

  • Strong new business development background with a track record of closing and exceeding quota in Public Sector accounts. including building territories and winning new logos, not just managing an inherited book.
  • Experience navigating Public Sector procurement frameworks and mechanisms
  • A Builder + AI First mindset: you actively use AI tools to improve your productivity and the quality of your work, and you can show examples beyond simply knowing about them 
  • Background in Cloud software, open source technology, and/or the Data and AI space, ideally selling into data, analytics, AI or digital transformation programmes
  • Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud
  • Coachable, curious and committed to continuous learning, with evidence such as certifications or cross-functional projects.
  • Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation
  • Experience selling to business-line leaders, the C-suite and economic buyers. You can explain business outcomes and ROI, not just product features, and you present with confidence to executives.
  • Experience building strong champions, collaborative teams and productive partnerships
  • Understanding of consumption-based land-and-expand sales models
  • Familiarity with robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting
  • Demonstrated contributions and a consistent track record of success
  • Bias for action and a strong sense of ownership. You take initiative well beyond carrying a number
  • A collaborative seller who leads deal teams and mentors others, with a record of success in high-performance, high-accountability cultures
  • Eligibility for SC clearance (existing clearance is an advantage)

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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New Business Enterprise Account Executive (Public Sector)
Databricks · London, United Kingdom
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