SLSQ327R621
Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day at Databricks.
We are looking for a Senior Manager, Emerging Enterprise (DACH) to join our world-class, hyper-growth organisation. In this first line leadership position, you will define the go to market strategy, business plan and cohesive sales strategy for the DACH region, in order to meet annual business segment goals and KPIs. You will lead and grow a team of experienced Emerging Enterprise Account Executives in growing a productive and sustainable business in this pivotal territory. This role is based in Germany.
The impact you will have:
- You will build, own and implement revenue plans to exceed sales targets
- You will lead your team team to effectively communicate the Databricks value proposition and understand how this relates to customer goals
- You will manage alignment of Account Executives within their territories, ensuring adherence to Databricks sales processes and achievement of quota
- You will drive efficiencies and productivity across your territory, guiding Account Executives on accurate forecasting, pipeline development and activity tracking
- You will support strategically important accounts within your territory, providing leadership to the sales team
- You will align with the leadership team on quota setting and territory carving
- You will raise the bar with hiring and development objectives
- You will create long-term trust-based relationships with employees, partners, and cross functions
- You will calibrate and align performance expectations across your teams in a constructive, motivating manner
What we look for:
- Strong first line management experience
- Strong sales experience in Data and AI or technology sales experience
- In-depth knowledge of how software is positioned and sold to IT and/or Data executives
- Strong written, verbal, presentation, and organizational skills, with the ability to articulate and evangelize the value of Databricks solutions
- Passionate about coaching and developing talent
- Extensive knowledge of sales methodologies ie MEDDICC, CoM, Challenger etc
- Experience launching initiatives to create impact at scale
- Ideally will have had exposure to the Startup, Emerging Enterprise and/or Digital Native space
- Business fluency in English and German
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
Skills Required
- First-line management experience
- Sales experience in Data and AI or technology sales
- In-depth knowledge of how software is positioned and sold to IT and/or Data executives
- Strong written, verbal, presentation, and organizational skills
- Passion for coaching and developing talent
- Extensive knowledge of sales methodologies (e.g., MEDDICC, CoM, Challenger)
- Experience launching initiatives to create impact at scale
- Exposure to Startup, Emerging Enterprise and/or Digital Native space
- Business fluency in English and German
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
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Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
