refresh

トレンド企業

Trending

採用

JobsDatabricks

Strategic Core Account Executive - Retail

Databricks

Strategic Core Account Executive - Retail

Databricks

Berlin, Germany

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Base salary plus commission

Uncapped earning potential

Generous PTO

President's Club

Health benefits

Stock options

Unlimited Pto

Healthcare

Equity

Required Skills

Outreach

LinkedIn Sales Navigator

HubSpot

SLSQ327R50

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 creative, experienced Strategic Account Executive to take the lead on one of Germany’s most influential online retail technology platforms, a Berlin‑based fashion and lifestyle marketplace serving millions of customers across Europe. Reporting to the Senior Director of Enterprise Sales, you will build and deepen strategic relationships, lead high‑impact commercial opportunities and take ownership for delivering performance against ambitious targets - giving you the opportunity to shape the customer’s data and AI strategy, identify and progress high‑value opportunities and turn them into measurable business outcomes.​

The impact you will have

p]:pt-0 &>p:mb-2 &>p:my-0">
You will take full ownership of this flagship enterprise account, setting a bold strategy to outperform ambitious revenue and consumption goals.

p]:pt-0 &>p:mb-2 &>p:my-0">
You will execute with pace and precision, turning strategy into action and consistently exceeding your targets.

p]:pt-0 &>p:mb-2 &>p:my-0">
You will build true boardroom‑level trust, acting as the go‑to data and AI advisor for senior and C‑level stakeholders.

p]:pt-0 &>p:mb-2 &>p:my-0">
You will continuously create and shape new business, expanding strategic use cases and driving deep, long‑term platform adoption.

p]:pt-0 &>p:mb-2 &>p:my-0">
You will mobilise the full Databricks ecosystem to unlock maximum value and measurable outcomes for the customer.

p]:pt-0 &>p:mb-2 &>p:my-0">
You will lead high‑stakes, insight‑led negotiations, successfully closing complex, multi‑year opportunities.

What we look for

p]:pt-0 &>p:mb-2 &>p:my-0">
Strong track record of beating revenue targets in complex enterprise sales environments.

p]:pt-0 &>p:mb-2 &>p:my-0">
At least 7+ years of extensive experience managing large retail enterprise accounts in Germany, with deep retail‑vertical expertise.

p]:pt-0 &>p:mb-2 &>p:my-0">
A consulting background, or a blend of industry and sales experience, as well as deep knowledge of the retail vertical, would also be considered.

p]:pt-0 &>p:mb-2 &>p:my-0">
Proven success selling sophisticated data, AI or highly technical software in multi‑stakeholder, multi‑year deals.

p]:pt-0 &>p:mb-2 &>p:my-0">
Solid understanding of consumption‑based, land‑and‑expand models and a track record of significantly growing a single strategic account is preferred.

p]:pt-0 &>p:mb-2 &>p:my-0">
Evidence of creating and shaping demand that delivers measurable business value.

p]:pt-0 &>p:mb-2 &>p:my-0">
Proficiency with structured sales methodologies (e.g. account planning, MEDDPICC, Value Selling, Command of the Message).

p]:pt-0 &>p:mb-2 &>p:my-0">
Experience building champions and cross‑functional account teams around a clear account strategy.

p]:pt-0 &>p:mb-2 &>p:my-0">
Experience leveraging partners to extend reach and accelerate deal cycles.

p]:pt-0 &>p:mb-2 &>p:my-0">
Ability to identify high‑impact data and AI use cases and key buying centres within large organisations.

p]:pt-0 &>p:mb-2 &>p:my-0">
We are a customer‑first company; therefore, willingness and ability to travel to the customer on a regular basis is essential (40–50%).

p]:pt-0 &>p:mb-2 &>p:my-0">
Fluent German and English, with the credibility to influence senior stakeholders up to C‑level.

#lLI-HS4

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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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

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