Manager, Field Engineering - Strategic Digital Native Business

Databricks · Remote (Remote US)

Equity This posting mentions equity, such as stock options or RSUs. The terms are on the company’s site.

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About the role

As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies.

You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.

This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.

This role will report to the leader of Solutions Architects for the Strategic Digital Native Business Unit focused on AI Native companies.

Responsibilities

Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.

Adapt the SA team's skills and engagement model to match the needs of Digital native customers

Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle

Travel to customer sites for executive sessions, technical workshops, and building relationships

Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team

Stay current with emerging Data and AI trends in the digital native tech sector

What we look for

4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)

3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment

A history of building a territory, growing strategic accounts, and exceeding targets

Inspiring a team vision about the unique nature of the digital natives business

A history of execution by managing workloads and consumption with sales, product, and engineering counterparts

Experience owning executive alignment in accounts that guide strategic decisions

Pay Range Transparency

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

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — 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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Continued in Databricks’s original posting ↗.

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