About the role

The Manager will lead and scale a team of Solutions Architects to drive technical sales and ensure customer success with the Databricks platform. They are responsible for hiring, mentoring, and fostering cross-functional relationships to accelerate market growth.

What they look for

Team Leadership Technical Pre-sales Data Warehousing Big Data Machine Learning Generative AI Solutions Architecture Hiring Coaching Mentoring Strategic Planning Data Infrastructure Cross-functional Collaboration Technical Validation Product Demonstration

Requirements

Candidates must have over 5 years of experience in the data space with technical products like data warehousing or machine learning. Proven experience in building and leading technical pre-sales teams is required to earn the trust of engineering talent and leadership.

Full description

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Mission

Reporting to an AVP, Field Engineering, the Manager, Field Engineering will help lead a team of Solutions Architects (SAs). You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks’ Data Intelligence Platform. You wil 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 hire, train, and grow a 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 of highly qualified, bar-raising candidates

You will establish relationships across the business to make your customers and team successful

You will keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack

You will ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players

5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)

Trusted advisor to technical executives that guide strategic data infrastructure decisions

Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations

Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success

Strong understanding of consumption-driven business models and the recipes for long term growth and success

Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles

Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams

Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success

Must be technical enough to earn the trust of Engineering talent and leadership at Databricks

Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.