Sr. Manager, Field Engineering - United States

 

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other US-based locations.

Databricks is leading the next paradigm shift in solving problems with data and is looking for a Field Engineering Manager to lead our Databricks lakehouse expansion. Reporting to a Director of Field Engineering, the  Manager, Specialist Solutions Architects will help lead a team of SSAs with the Manufacturing GTM vertical. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% post-sales), you will partner with Sales (and Solution Architects)  to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The impact you will have:

• You will grow a team of Specialist Solutions Architects for a company in high-growth mode.
• You will maintain a hiring pipeline for ongoing hiring needs throughout the year.
• 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 partners.
• 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 leading technical pre-sales teams - hiring, onboarding, and supporting pre-sales professionals, 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 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 data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, 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 affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

 

Compliance

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