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Databricks

Pre-Sales Manager, Field Engineering

Paris, France
Spark
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Description

[FEQ126R56]


As a Field Engineering Manager for Services (Enterprise), you will lead a team of pre-sales Solutions Architects and Solutions Engineers. You will lead the continued expansion of the French market and play a key role in hiring to grow the technical pre-sales teams. Your experience partnering with the sales organization will help close 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 important partners in large corporations.

The impact you will have:

  • Manage an existing and growing pre-sales team in France - 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
  • Have experience mentoring and scaling technical teams
  • Success in instituting processes for technical field members to lead efficiency and product focus
  • Ability to partner and collaborate with Sales and other cross-functional leaders
  • Experience developing teams to operate in a fungible, interchangeable capacity across a region will be advantageous
  • 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 beneficial. 

#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.

Databricks
Databricks
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