Databricks3 days ago
Sr. Manager, Field Engineering
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
The employer didn't disclose pay — compare with the market yourself.
Chicago
Responsibilities
- 01Lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI
- 02Partner with Sales and other Field Engineering technical segments to increase revenue and help customers achieve success through Databricks' Data Intelligence Platform
- 03Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market
- 04Hire, train, and grow a team of Solutions Architects
- 05Make customers extremely successful with Databricks and provide outsized value to their businesses
- 06Maintain a robust hiring pipeline of highly qualified candidates
- 07Establish relationships across the business to make customers and team successful
- 08Keep team of Solutions Architects ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
- 09Ensure team is continuously learning and working to provide customers with the most comprehensive solutions for their needs
- 10Engage with customers strategically at the Executive Level to drive mutually beneficial outcomes
- 11Set GTM strategy and drive world class execution towards meeting aggressive sales targets
- 12Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
- 13Establish and foster external partnerships with systems integrators and independent software vendors that maximize and accelerate client success
- 14Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams
- 15Work cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
- 16Influence and review complex architectures; guiding team and customers towards ideal solutions that scale
Requirements
- 01Proven 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
- 0210+ 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)
- 03Trusted advisor to technical executives that guide strategic data infrastructure decisions
- 04Strong understanding of consumption-driven business models and the recipes for long term growth and success
- 05Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
- 06Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
What we offer
- 01Reporting to a Director, Field Engineering
- 02Focus on Startups segment of Databricks' Field Engineering team
- 03Eligibility for annual performance bonus, equity, and benefits
- 04Comprehensive benefits and perks that meet the needs of all employees
- 05Commitment to fostering a diverse and inclusive culture where everyone can excel
- 06Inclusive hiring practices that meet equal employment opportunity standards