Role at a glance
- Salary
- Not Disclosed
- Location
- London, United Kingdom
- Work arrangement
- On-site
- Employment
- Full-time
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Qualifications
Strong new-business development background and a track record of closing and exceeding quota in consumption-based SaaS, PaaS, or IaaS; experience with procurement frameworks, cloud software, open-source technology, or Data and AI; experience driving usage-based SaaS adoption and co-selling with AWS, Azure, or Google Cloud; ability to identify use cases and buying centres, co-develop business cases, secure C-level sponsorship, and build champions, collaborative teams, and partnerships; understanding of consumption-based land-and-expand sales models; familiarity with sales methodologies such as account planning, MEDDPICC, or Value Selling, and accurate forecasting; demonstrated track record of success; based in London with availability for travel; demonstrable experience working with integration partners; fluent English.
About the role
Original posting provided by Databricks
SLSQ327R89
Location: London (potential relocation to Dubai in 2027)
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 Middle East and Africa sales leadership team, 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 organisations. We’re looking for a proven Enterprise Account Executive to join our team in London (relocation to Dubai expected early 2027) 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 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 and build strategies targeting all critical stakeholders
- 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
What we look for:
- Strong new business development background with a track record of closing and exceeding quota in consumption based business (SaaS, PaaS, IaaS).
- Experience navigating procurement frameworks and mechanisms
- Background in Cloud software, open source technology, or the Data and AI space
- Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud
- Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation
- Methods for co-developing business cases and securing C-level sponsorship
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
- Based in London (potential relocation to Dubai in 2027) with availability for travel.
- Demonstrable experience working with integration partners
- Fluent English
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.