Manager, Field Engineering

Overview

Join to apply for the Manager, Field Engineering role at Databricks .

Location(s) : Boston, New York preferred. While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Eastern United States.

About the Team and Role

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who can translate their team vision into a tangible and effective strategy to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing and HiTech Enterprise Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data / analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become successful. You will scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market.

Responsibilities

• You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• You will maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Partner with sales leadership to hit sales and consumption targets while ensuring customer success.
• Keep your team of SAs ahead of the technical curve. You will ensure continuous learning, maintain advanced knowledge of the data+AI technology stack, and provide customers with comprehensive solutions.

What We Look For

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are below and represent the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation is based on factors including job-related skills, depth of experience, certifications, and location. The total compensation package may include annual performance bonus, equity, and listed benefits. For more information on ranges by location, please visit our page.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. We are headquartered in San Francisco, with offices around the globe. Learn more by following Databricks on its social channels.

Benefits and Inclusion

We strive to provide comprehensive benefits and perks that meet the needs of our employees. For details on benefits offered in your region, please visit our benefits page.

Our Commitment to Diversity and Inclusion : We are committed to fostering a diverse and inclusive culture where everyone can excel. We hire without regard to age, color, disability, ethnicity, gender identity, language, national origin, race, religion, sexual orientation, veteran status, or 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.

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