Job Search and Career Advice Platform

Aktiviere Job-Benachrichtigungen per E-Mail!

Named Core Account Executive - Manufacturing & Automotive

Databricks Inc.

Remote

EUR 80.000 - 120.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Erstelle in nur wenigen Minuten einen maßgeschneiderten Lebenslauf

Überzeuge Recruiter und verdiene mehr Geld. Mehr erfahren

Zusammenfassung

A leading data and AI company is seeking a Named Core Account Executive to drive growth in the Manufacturing and Automotive sectors across Germany. This role involves building strong relationships with enterprise accounts, shaping their data and AI strategies, and delivering impactful solutions. Ideal candidates will have 5-7 years of experience in sales, a strong understanding of industry trends, and proficiency in both English and German. This position offers an opportunity to work with cutting-edge technology and make a significant impact.

Qualifikationen

  • 5-7 years of experience in enterprise account management, preferably in Manufacturing or Automotive.
  • Proven success in selling complex data solutions.
  • Strong background in open-source technologies.

Aufgaben

  • Shape customers’ data and AI strategies.
  • Build relationships with stakeholders.
  • Drive adoption of Databricks solutions.

Kenntnisse

Selling complex cloud solutions
Building enterprise accounts
Understanding industry trends
Sales methodologies
Fluency in English and German
Jobbeschreibung

Named Core Account Executive - Manufacturing & Automotive

Berlin, Germany

SLSQ127R45

Candidates for this role 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 their businesses need to gain a first‑mover advantage in today’s ultra‑competitive landscape.

As Databricks continues its expansion across Central Europe, we’re looking for a driven, creative, and execution‑focused Named Account Executive to help us capture the significant opportunity ahead in Germany’s Manufacturing and Automotive sectors. Reporting to our Director of Enterprise Sales, you’ll own and grow a portfolio of leading enterprise accounts — building strong relationships, driving strategic transformation, and closing high‑impact deals. If you’re passionate about understanding cutting‑edge technology and communicating its value to customers, this is your opportunity to make a meaningful impact.

The Impact You Will Have
  • You will shape and guide your customers’ data and AI strategies to drive innovation and measurable business outcomes.
  • Leverage industry trends and connect customer challenges to the value of data, analytics, and AI.
  • Deliver meaningful impact through proactive engagement, thought leadership, and strategic insight.
  • Build trusted partnerships with stakeholders at every level, positioning yourself as a valued advisor to C‑Suite executives, to drive and close business.
  • You will drive adoption and expansion by aligning Databricks solutions to evolving customer needs.
  • You will collaborate across teams to deliver seamless, high‑impact experiences that help customers unlock the full potential of the Databricks Data Intelligence Platform.

What we look for

  • Proven success in selling complex cloud or big data solutions, consistently exceeding quotas and KPIs
  • You have at least 5–7 years of experience growing enterprise accounts — ideally within the Manufacturing or Automotive sectors in Germany.
  • Strong background in open‑source technologies and guiding build‑vs‑buy decisions across multiple stakeholders, including C‑level executives.
  • Deep understanding of industry trends, customer pain points, and Data & AI value drivers.
  • Skilled in structured sales methodologies (e.g. MEDDPIC, Value Selling, Account Planning) with a track record of accurate forecasting and closing complex deals.
  • Experienced in building champions, collaborating across teams, and driving partner‑led success.
  • Fluent in English and German, with a willingness to travel regularly to engage with customers in person.

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. 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.

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.

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.