招聘
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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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