Manager, Field Engineering - eDNB

Mission

Reporting to a Director of Field Engineering, the Manager, Solutions Architects (SAs) at eDNB will help lead a team of SAs for the Emerging Digital Native Business segment. You will lead and promote a dynamic team focusing on leveraging Data and AI to enable late-stage, fast-growing companies (under $1B in valuation) to deliver highly differentiated products, services, and experiences to their customers. Leading the technical, split-focused team (50% pre-sales, 50% technical acumen), you will partner with Sales (and other Field Engineering technical segments) 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

• Hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with eDNB and provide outsized value to their businesses.
• Maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve by ensuring continuous learning and working to provide our customers with the most comprehensive solutions for their needs.
• Implement business process improvements and new innovative ways to engage customers. Ultimately enabling SAs to be force multipliers in the business and scale their impact.
• Lead programs and initiatives in the business to help the region achieve its business objectives and goals.
  
  

What We Look For

• Proven experience building and leading technical pre(or post)-sales teams, including hiring, onboarding, and enabling pre(or post)-sales professionals.
• 5+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or 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 positive morale for the team and help foster a working relationship 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 eDNB.
• Demonstrated architectural influence, able to influence and review complex architectures; guiding your team and customers towards ideal solutions that scale.
  
  

Join Us

As a Solutions Architect leader at eDNB, you will be a strong technologist who can lean in with technical executives to drive the vision of our platform and support our customers to innovate with our Data Intelligence Platform. You are a hands-on leader who coaches and mentors your team members by participating with them in customer engagements. You are a strong partner with Sales leaders and help deliver on the business metrics for the region. Additionally, you are process-oriented and ready to help scale our team's impact by driving programs and mechanisms focused on driving efficient use of our resources. Most importantly, you are focused on building technically strong teams with deep product expertise in Data Engineering, Machine Learning, Data Warehousing, and Generative AI. With this focus on technical depth, team development, business and operational excellence, and customer engagements, you will be focused on running a world-class Solutions Architect organization at a generational Data and AI company.

Benefits

• Medical, Dental, and Vision
• 401(k) Plan
• FSA, HSA and Commuter Benefit Plans
• Equity Awards
• Flexible Time Off
• Paid Parental Leave
• Family Planning
• Fitness Reimbursement
• Annual Career Development Fund
• Home Office/Work Headphones Reimbursement
• Employee Assistance Program (EAP)
• Business Travel Accident Insurance
• Mental Wellness Resources
  
  

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$178,900—$316,300 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. 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

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.