[FEQ325R67]

As a Manager in the Databricks Field Engineering team, you will lead a team of pre-sales Solutions Architects.

You will help to continue expansion of the French market and develop the technical pre-sales teams. Your experience partnering with the sales organisation 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.

You will report to the Director, Field Engineering in France.

The impact you will have:

• Manage hiring and building the Solutions Architect team, scaling the designated field engineering segment organization without sacrificing quality
• Build a motivated collaborative culture within a hyper-growth team. To embody and promote Databrick's customer-obsessed, teamwork and diverse culture
• Support increased Return on investment of SA involvement in sales cycles by 2-3x over 18 months
• Ensure a solution and value-based selling field-engineering organization
• Display an understanding of needs and revenue potential for accounts in the assigned region
• Engage with Customer Executives to deliver strong point of views and driving the partnership with Databricks while supporting account teams
• Ensure close alignment with partners and internal services to secure implementation strategies within accounts
• Continue to build Databricks' brand in France in partnership with the Marketing and Sales team

What we look for:

• Familiar with building a team of successful Big Data, Cloud, or SaaS professionals
• Have experience scaling and mentoring field or technical teams from scratch at hyper-growth speed
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Great at instituting processes for technical field members to lead efficiency
• Technical background either in Data Engineering / Database technologies or Data Science
• Experienced in strategic customer engagements. Expertise in the Retail industry will be advantageous but not a pre-requisite.
• Fluent in French
• Ideally located in/around Paris for regular engagement with the team in the Databricks office.

Benefits:

• Private medical insurance
• Private life and disability coverage
• Pension Plan
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus

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.

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.