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About the Role
Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects for the Financial Services segment of Databricks’ Regulated Industries Field Engineering team. 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 to increase revenue and help customers achieve success through Databricks’ Data Intelligence Platform. 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
- Hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
- Make customers successful with Databricks and provide outsized value to their businesses.
- Maintain a robust hiring pipeline of highly qualified candidates.
- Establish relationships across the business to make customers and team successful.
- Keep the team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack.
- Ensure the team is continuously learning and working to provide customers with comprehensive solutions.
- Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
- Create a positive culture and morale for the team, fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams.
- Work cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.
- Influence and review complex architectures, guiding the team and customers towards ideal, scalable solutions.
Requirements
- Proven experience building and leading technical pre-sales teams, including hiring, on-boarding, coaching, and mentoring.
- 8+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or generative AI).
- Act as a trusted advisor to technical executives guiding strategic data infrastructure decisions.
- Strong understanding of consumption-driven business models and strategies for long-term growth.
- Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
- Must be technical enough to earn the trust of Engineering talent and leadership.
Skills
- Enterprise software
- Big data/analytics
- Data engineering
- Data science
- Data warehousing
- Generative AI
Location
- North East
- Midwest
Work Type
- Remote
- Onsite
Experience Level
- Sr. Manager
- 8+ years
Salary/Compensations
- $192,100—$264,175 USD
Benefits
- Eligibility for annual performance bonus
- Equity
About the Company
- Databricks is the Data and AI company. More than 20,000 organizations worldwide 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.
Equal Opportunity
- 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.