This Field Engineering Manager will lead a team of Solutions Architects (SA) focusing on strategic customers within the Digital Native Business.

This role will expand and develop a dynamic team skilled in working with customers on data engineering, analytics, and ML/AI workloads. It will require experience partnering with the sales organization to help grow consumption and win new workloads by enhancing your team's effectiveness; being an expert at communicating complex value-focused solutions; and building relationships with key stakeholders in large customers.

The impact you will have:

Hire, train, and grow a team of Solutions Architects for a company and business unit in high-growth mode. Consistently meets or exceeds field targets by making sure the SA team knows how to qualify workloads - especially from a technical perspective, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle.  Ensure customer success with Databricks and provide outsized value to their businesses. Establish relationships across internal organizations (partners, services, sales, product, engineering, etc.) to ensure the success of the customers and team.

What we look for:

5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning). Experience building and leading technical customer-facing teams - hiring, onboarding, and supporting team members in a hypergrowth environment;  A history of building a territory; growing strategic accounts; and exceeding targets Led a team through best practices for technical account strategy, architecture discussions, and solution advocacy in a highly competitive and political customer environment. Inspiring a team vision about the unique nature of their group - to help foster a healthy and productive working relationship within the team and other organizations.  A history of execution by managing workloads and consumption with sales counterparts.  Sharing learnings and blockers with the team and working to accelerate growth and adoption.  Experience with driving executive alignment in accounts that guide strategic data infrastructure decisions and establish partnerships through adoptions and growth.

 

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.

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, please visit https://www.mybenefitsnow.com/databricks. 

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.