Synced from Greenhouse · Jul 4

Account Executive

DatabricksMunich, GermanyPosted Jul 4, 2026
Account ExecutiveSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Jul 4
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Greenhouse
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Job descriptionReq 8353248002

SLSQ427R134

Although a specific location may be posted, candidates can be based anywhere in Germany.

Databricks operates at the leading edge of the unified data, analytics, and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain a first‑mover advantage in today’s ultra‑competitive landscape.

As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented Strategic Account Executive to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the FSI vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within Germany’s largest savings bank, and one of Europes largest Insurance groups with HQ in Hannover. You will be the Strategic Account lead, working with a dedicated account team supporting these highly key clients. Leveraging your consultative sales experience in the Banking/FSI vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes.

The impact you will have:

  • Ownership: Take full responsibility for your flagship accounts, defining a clear strategy and relentlessly driving it to exceed revenue and consumption goals.

  • Execution: Turn strategy into action, executing with urgency and discipline to consistently overachieve targets.

  • Advisory: Build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including the C‑level.

  • Expansion: Uncover and shape new business, expanding use cases and driving deeper platform consumption across your accounts.

  • Orchestration: Lead the full Databricks ecosystem, mobilizing internal cross-functional teams to maximize impact and customer value.

  • Negotiation: Demonstrate compelling value in every engagement, leading confident, insight‑led negotiations from discovery to close.

What we look for:

  • Proven Track Record: A documented history of exceeding revenue targets in complex, large-scale enterprise sales environments.

  • Domain Expertise: Recognised Banking/FSI domain expertise, with a deep understanding of the German regulatory, risk, and compliance landscape.

  • Technical Sales Depth: Proven success selling data, analytics, big data, AI, or highly technical cloud software through multi-stakeholder, multi-year enterprise cycles.

  • Strategic Vision: Ability to identify high-impact AI use cases and engage key buying centers to expand the Databricks footprint and strategic relevance.

  • Consumption Model Mastery: Strong understanding of consumption-based, "land-and-expand" models to drive sustained growth within strategic accounts.

  • Value-Led Selling: Demonstrated ability to create and shape demand by translating customer priorities into measurable business value.

  • Methodological Rigor: Disciplined use of sales methodologies (e.g., MEDDPICC, Value Selling, or Command of the Message) combined with accurate forecasting.

  • Leadership: Experience building executive-level champions and leading cross-functional teams to execute against a defined account strategy.

  • Partner Ecosystem: Experience executing partner strategies that extend reach and accelerate deal velocity within complex opportunities.

  • Mobility: Willingness to travel to customer sites and industry events, both regionally and internationally.

  • Communication: Fluency in German and English is essential, with the credibility to challenge and influence senior C-level stakeholders.

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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Account Executive
Databricks · Munich, Germany
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