Jobs
Required Skills
Enterprise Sales Leadership
Team Management
Talent Development
Sales Coaching
MEDDPICC
Challenger Sales
Forecasting
German Language
English Language
SLSQ327R131
While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered.
Do you want to help solve the world’s toughest business problems with Data and AI? That’s what we do every day here at Databricks.
We are looking for a Director, Enterprise Sales to join our growing Enterprise business in Germany. You will lead a team of up to Eight Enterprise Account Executives covering Enterprise accounts across a mix of industries. You will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will support them to drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion.
This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the Regional Vice President, German Enterprise, based in Munich.
The impact you will have:
You’ll leverage your business network to build a strong talent pipeline and hire top candidates as the team grows — raising the bar with every hire.
Within your first 90 days, you’ll create a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable impact.
You’ll build and sponsor trusted relationships with customers and partners to drive long-term success in the region — staying customer-obsessed in everything you do.
You’ll ensure accurate forecasting and create a predictable, high-growth business that reflects a company-first mindset and commitment to sustainable results.
You’ll coach your team to lead with strong vision setting and methodology-based selling, staying aligned with customers’ goals and outcomes — helping them raise the bar through excellence and accountability.
You’ll develop a solid understanding of our product’s technical details and roadmap to earn trust with key stakeholders and make customer-obsessed decisions that drive long-term value.
You’ll embrace truth-seeking by making decisions based on data — and adapting quickly as the data evolves.
What we look for:
A proven people leader with 5+ years of experience leading high-performing Enterprise sales teams selling into strategic/Enterprise accounts in Germany.
A proven track record of developing high-performing teams in high-growth Data, AI, Cloud, or SaaS/Tech companies, consistently exceeding ambitious sales goals.
A demonstrated ability to identify and develop top talent — building teams that raise the bar through trust, accountability, and shared success.
An understanding of how to balance usage-based, commit-based, and service-based revenue models — and how to leverage them to drive sustainable growth.
A track record of building strong partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value.
A strong focus on methodology-based sales coaching (e.g., MEDDPICC) and a challenger mentality.
Accurate forecasting and a disciplined approach to sales execution.
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Fluency in German and English is required
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Willing and able to travel to customer sites, regional and international industry and company events.
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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