Sr. Manager, Field Engineering

FEQ427R200

While candidates in the listed location(s) are encouraged for this role, exceptionally well-qualified candidates in other locations will be considered.

The Sr. Manager, Field Engineering (Specialist), Product Adoption will drive field effectiveness for the Databricks team of Product and Adoption Architects. You will work closely with cross-functional teams to lay out the requirements to execute on product priorities. You will partner with the Product Management, Operations, and GTM leadership to set priorities, requirements, and vision for scalable programs that can be scaled across the entire Field. Across a portfolio of products, the product adoption team provides: clarity to the field on product strategy, signals to product management of friction and blockers, and drives cross-functional action to unblock adoption. Product architects do this directly with customers and enablement, adoption architects through Embedded Product Leaders in the field.

• Manage a diverse team of Adoption and Product Architects to achieve customer, company, and product line adoption.
• Work with your team to define the strategy for multiple scalable and repeatable product programs. 
• Evangelizing programs with leadership & cross-functional stakeholders through regular cadences – building awareness, identifying & resolving conflicts (e.g., priority differences), and driving adoption of program levers.
• Build up a portfolio of effective and engaged EPL communities that are developed, fostered, and matured over time.
• Orchestrate the build and management of high-quality field material to drive product programs, including positioning and enablement for internal, customer, and partners. 
• Engaging supporting resources (e.g., strategy, ops, programs) to triage the team’s needs and secure a consistent level of support
• Metrics include: Product-line Consumption, Program activity KPIs, and size and engagement of the EPL community.

• 7+ years of experience building, leading, and managing technical field engineering teams. Including hiring, onboarding, coaching, and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team players.
• Proven trusted advisor to field and product executives who drive strategic decisions with data.
• Strong execution and ability to drive outcomes in the face of ambiguity
• Strong leadership skills - ability to coordinate with various roles across GTM and R&D that contribute toward product line adoption.

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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.

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. 

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.