Manager, Field Engineering

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is leading the next paradigm shift in solving manufacturing problems with data and is looking for a Field Engineering Manager to lead our Databricks lakehouse expansion noticeably with IoT and Digital Twin use cases. Reporting to the Director of Field Engineering, the FE Manager will lead a team of Solution Architects in collaborating with Databricks' most strategic manufacturing customers in supporting our LATAM segment. You are one who has built and led technical pre-sales teams in Big Data/Analytics or Artificial Intelligence and has experience partnering with the sales organization to drive revenue. You'll rapidly scale and maintain a world-class field-engineering organization supporting Enterprise size customers that is highly efficient in its operations to achieve incredible business value for customers and creating growth.

For this specific opportunity, candidates who are bilingual in Spanish are highly preferred to support multi-national customers in this segment

 

The impact you will have:

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• You will maintain a robust hiring pipeline at all times.
• Crush your region's sales target - by making sure your SA team knows how to build a comprehensive technical point of view to establish the lakehouse architecture across a wide array of business units, identify valuable business-impacting use cases and validate consumption demand, and establish themselves as trusted advisors by building strong relationships with technical stakeholders.
• Make your customers in your region extremely successful by driving priorities with sales and alignment with the other databricks technical functions (Specialist, PS and CS)
• Establish relationships across the business to make your customers and team successful

What we look for:

• 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
• Experience building and leading technical pre-sales teams - hiring, onboarding, and supporting pre-sales professionals in hypergrowth environments; building a territory; up-selling strategic accounts; and exceeding annual quotas.
• Lead a team through best practices for technical account strategy, architecture discussions, and solution advocacy in a highly competitive and political customer environment.
• Experience hiring candidates, ramping them up to be successful, and promoting them into larger roles.
• Create positive morale for the team, establish work-life balance and help foster a healthy and productive working relationship within the team and between Field Engineering, Sales, and other important internal partners.
• Experience working with other teams such as Sales, Product Management, Industry Got to Market and Customer Success.
• Experience with driving executive alignment in accounts that guides strategic data infrastructure decisions and establish partnerships through adoptions and growth.

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 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 affil