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[FEQ126R56]
As a Field Engineering Manager, you will lead a team of pre-sales Solutions Architects and Solutions Engineers. You will lead a fungible technical pre-sales team in the SEMEA region and partner with the sales organization to help drive revenue with the right approach whilst coaching new teams to work together interchangeably.
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 important partners in large corporations.
The impact you will have:
- Manage a growing fungible pre-sales team to operate in an interchangeable capacity across the SEMEA region - hire, mentor and grow the team
- 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 organization
- 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 in partnership with Leadership team, Marketing and Sales teams across the SEMEA region
What we look for:
- Experience in managing a team of successful Big Data, Cloud, or SaaS professionals
- Strong operational skillset with experience mentoring and scaling technical teams that overlay functions
- Success in instituting processes for technical field members to lead efficiency and product focus
- Ability to collaborate with cross-functional leaders and drive cross-territory alignment using influence
- Experience developing teams to operate in a fungible, interchangeable capacity across a region
- Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions
- Strong communication skills
- Technical or consulting background either in Data Engineering, Database technologies or Data Science
- Fluent in French (native speaker). Additional language skills in the region will be advantageous.
#LI-hybrid
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.
Top Skills
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.
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