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Strategic Core Account Executive - Discrete Manufacturing

Databricks

Strategic Core Account Executive - Discrete Manufacturing

Databricks

Hesse, Germany

·

On-site

·

Full-time

·

1w ago

SLSQ227R638

while this role is posted in specific locations, suitable 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 drive the accelerated innovation they need to gain first-mover advantage in an ultra-competitive landscape.

As we continue our rapid expansion across Central Europe, we are looking for a strategic and consultative Strategic Account Executive to join the team in Germany and maximise the significant market opportunity that exists for Databricks within the industrial and manufacturing sector. Reporting to our Senior Director of Enterprise Sales, you will focus on managing and growing one of our most high-profile accounts. You will spearhead our partnership with one of Germany’s most iconic brands—a world leader in industrial automation and digitalisation. As a primary driver of "Industrie 4.0," this organisation is a cornerstone of the German economy, transforming how the world manufactures, moves, and heals.

Dual-headquartered in Munich and Berlin, this powerhouse employs nearly 300,000 people across a vast multi-divisional ecosystem. You will navigate a complex landscape that spans Healthcare, Energy infrastructure, Mobility, and Smart Buildings, driving digital transformation for a national treasure that remains a global benchmark for engineering excellence.

The impact you'll have:

  • You will be part of the large account team for this flagship account, driving sustained growth across consumption, expansion, and new business.

  • You will consistently exceed growth targets by translating account strategy into clear, measurable commercial outcomes and disciplined execution.

  • You will operate as a trusted C-suite advisor, influencing executive decisions and shaping enterprise-wide Data & AI transformation initiatives.

  • You will identify, prioritise, and scale high-value AI use cases to deliver measurable business outcomes.

  • You will drive partner-led growth, working closely with system integrators and strategic partners to increase deal momentum and customer impact.

  • You will lead complex, multi-stakeholder negotiations, closing transformational agreements that strengthen the strategic partnership.

What we look for:

  • Proven success selling advanced data, analytics, Big Data, AI, or complex cloud technology, closing complex, multi-stakeholder, multi-year enterprise agreements.

  • A proven record of exceeding ambitious revenue goals in large, global enterprise accounts within the Industrial/Manufacturing vertical in Germany.

  • Deep understanding of consumption-based growth models and how to scale strategic accounts from initial wins.

  • Proficiency in structured sales methodologies (e.g., MEDDPICC, Value Selling).

  • A history of building champion networks and leading cross-functional account teams around a clear strategy.

  • Candidates with a consulting background who combine a strong sales profile with deep Industrial vertical expertise are encouraged to apply.

  • Readiness to travel regularly within Germany and internationally to stay closely aligned with the customer.

  • Fluency in German and English, with the gravitas to influence senior leaders up to C-level.

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

Databricks

Series I

Databricks, 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

3.8

10 reviews

Work-life balance

2.8

Compensation

4.0

Culture

4.2

Career

3.5

Management

4.0

72%

Recommend to a friend

Pros

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good benefits and competitive compensation

Cons

Poor work-life balance and long hours

High pressure and stressful environment

Heavy workload and overtime requirements

Salary Ranges

34 data points

Junior/L3

Mid/L4

Junior/L3 · ENTERPRISE ACCOUNT EXECUTIVE

1 reports

$165,000

total per year

Base

$127,899

Stock

-

Bonus

-

$165,000

$165,000

Interview experience

6 interviews

Difficulty

3.2

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 83%

Negative 17%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge