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Databricks
Databricks

The Data and AI Company.

Strategic Account Executive - Chemicals, m/f/d

직무영업
경력미들급
위치Hesse, Germany
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Enterprise sales

Account Management

Pharma/Life Sciences domain knowledge

Consumption-based sales models

MEDDPICC

Value selling

German language

English language

SLSQ427R22
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 phenomenal expansion across Central Europe, we are seeking a Strategic Account Executive, Life Sciences to join our team in Germany. Reporting to the Director of Enterprise Sales, you will drive consumption growth, build executive relationships, and close new business within one of Germany’s largest pharmaceutical organisations, headquartered in the Rhine-Main region.

As part of the Global Account team on this flagship customer, you will leverage your deep Pharma and Life Sciences experience to shape the Data & AI strategy, advance high-value opportunities, and deliver measurable business impact by steering existing initiatives to successful, scalable outcomes.

The impact you'll have:

  • You will be the lead Strategic Account Executive for one of Germany’s largest Life Sciences accounts, 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 use cases, accelerating platform adoption and deepening the customer relationship.

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

  • You will orchestrate the Databricks ecosystem to deliver predictable outcomes, long-term value, and sustainable account growth.

  • You will lead complex, multi-stakeholder negotiations, closing transformational agreements that strengthen the strategic partnership and support long-term growth.

What we look for:

  • Success selling advanced data, analytics, AI, or cloud platforms in complex, multi-stakeholder, multi-year enterprise engagements.

  • A proven record of exceeding ambitious revenue goals in complex enterprise sales environments.

  • A demonstrated track record of growing large, global enterprise accounts within the Life Sciences / Big Pharma vertical in Germany.

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

  • Proficiency in structured sales methodologies (Account Planning, MEDDPICC, Value Selling, Command of the Message).

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

  • Experience using partners to broaden reach, accelerate deal cycles, and support successful delivery and customer success.

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

  • Readiness to travel regularly across Germany and internationally to stay closely aligned with customers.

  • 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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Databricks 소개

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+

직원 수

San Francisco

본사 위치

$43B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

2.5

보상

4.0

문화

4.2

커리어

3.5

경영진

4.0

72%

지인 추천률

장점

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good compensation and benefits

단점

Long hours and heavy workload

Poor work-life balance

High pressure and stress

연봉 정보

34개 데이터

Junior/L3

Mid/L4

Junior/L3 · ENTERPRISE ACCOUNT EXECUTIVE

1개 리포트

$147,000

총 연봉

기본급

$127,899

주식

-

보너스

-

$147,000

$147,000

면접 후기

후기 5개

난이도

3.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 80%

부정 20%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Hiring Manager Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience