採用
必須スキル
Enterprise Sales
Insurance Domain Expertise
Data Sales
Analytics Sales
AI Sales
Cloud Software Sales
Account Planning
MEDDPICC
Value Selling
German
English
SLSQ427149
Databricks operates at the leading edge of the unified data, analytics and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first‑mover advantage in today’s ultra‑competitive landscape.
As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented Strategic Account Executive to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the insurance vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within one of Germany’s largest Reinsurers, based in Munich. You will be part of an account team supporting this highly strategic client. Leveraging your consultative sales experience in the Insurance/FSI vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes.
The impact you will have:
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You will take ownership of your flagship account, define a clear strategy, and relentlessly drive it to exceed revenue and consumption goals.
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You will turn that strategy into action, executing with urgency and discipline to consistently overachieve your targets.
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You will build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including C‑level.
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You will uncover and shape new business, expanding use cases and driving deeper platform consumption across your account.
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You will orchestrate the full Databricks ecosystem, mobilising internal teams to maximise impact and customer value.
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You will demonstrate compelling value in every engagement, leading confident, insight‑led negotiations that take opportunities all the way to close.
What we look for
A proven record of exceeding revenue targets in complex enterprise sales environments.
Recognised insurance domain expertise, applied to expanding strategic Insurance/FSI accounts in Germany through deep understanding of regulatory, risk, and compliance dynamics.
Proven success selling data, analytics, big data, AI, or other highly technical cloud software solutions through complex, multi-stakeholder, multi-year enterprise sales cycles
- The ability to identify high-impact data and AI use cases and engage key buying centres to expand Databricks’ footprint and strategic relevance within an organisation.
Strong understanding of consumption-based, land-and-expand models, with the ability to drive sustained growth within a single strategic account.
Demonstrated ability to create and shape demand, translating customer priorities into measurable business value.
Disciplined use of sales methodologies such as MEDDPICC, account planning, Value Selling, or Command of the Message, combined with strong pipeline management and accurate forecasting.
A track record of building executive-level champions and cross-functional account teams to execute against a defined account and territory strategy.
Experience developing and executing partner strategies that extend reach, accelerate deal velocity, and support complex enterprise opportunities.
Willing and able to travel to customer sites, company and industry events - regionally and internationally
Fluent in German and English, with the credibility to engage, challenge, and influence senior stakeholders 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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1
応募クリック数
0
模擬応募者数
0
スクラップ
0
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Databricksについて

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+
従業員数
San Francisco
本社所在地
$43B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
4.0
企業文化
4.2
キャリア
3.5
経営陣
4.0
72%
友人に勧める
良い点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
改善点
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
給与レンジ
34件のデータ
Junior/L3
Mid/L4
Junior/L3 · ENTERPRISE ACCOUNT EXECUTIVE
1件のレポート
$165,000
年収総額
基本給
$127,899
ストック
-
ボーナス
-
$165,000
$165,000
面接体験
6件の面接
難易度
3.2
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 83%
ネガティブ 17%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
ニュース&話題
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News
·
6d ago