FEQ427R175
Any location, Germany
As a Field Engineering Manager, you will lead a team of pre-sales Solutions Architects as well as lead the expansion of Databricks’ presence in Germany. Your experience partnering with the sales organisation will help drive revenue with the right approach, whilst coaching new sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness, be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with key partners in large corporations. You will report to the Sr. Director, Field Engineering.
The impact you will have:
- Hire, coach and develop the pre-sales team in Germany
- Build a motivated, collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture
- Support increased return on investment of SA involvement in sales cycles
- Ensure a solution and value-based selling within the field-engineering organisation
- Display an understanding of needs and revenue potential for accounts in the assigned region
- Engage with key customer executives to build and strengthen strategic partnerships
- Ensure close alignment with partners and internal services to secure implementation strategies within accounts
- Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region
What we look for:
- Proven experience in successfully building and managing a presales team is a must
- Technical or consulting background in Data Engineering, Database technologies or Data Science
- Proven experience in driving strategic planning and accurately forecast sales trends in a consumption-driven business
- Ability to partner and collaborate with Sales and other cross-functional leaders
- Success in instituting processes for technical field members to lead efficiency and Data-driven innovation
- Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions
- Executive presence & strong communication skills
- Highly preferred language: German (English is a must)
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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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.
