Sr. Manager, Field Engineering - Strategic AI Natives

Sr. Manager, Field Engineering - Strategic AI Natives

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

You will 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. Additionally, given the size and growth of this team, this role will soon evolve into a second-line leadership role.

You will represent Databricks as a technical leader with some of its most important customers, requiring you to also work closely with internal sales, services, product, and engineering teams. You will utilize excellent communication skills to influence large product and engineering decisions based on customer and market evidence.

This role will report to the Director of Solutions Architecture for the Strategic Digital Native Business Unit.

Responsibilities

• Hire and develop a team of deeply technical Solutions Architects capable of guiding AI 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 and AI native customers.

• Consistently meet or exceed targets by ensuring 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

• 7+ 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 customers, and exceeding targets.

• Experience influencing large product and engineering decisions based on customer and market evidence.

• A track record of evolving and changing your team engagement models to adapt to customers' demands.

• Technical depth and skills in the data and AI space to build credibility with the team, customers, and stakeholders.

• Inspiring a team vision about the unique nature of the AI natives business.

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

• Experience owning technical 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.

Local Pay Range: $171,800—$240,500 USD

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 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…