Sr. Manager, Field Engineering - AI Natives

As the manager of the AI Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, Specialists SAs (SSAs), and Delivery SAs (DSA) who drive the adoption of the Databricks Platform at the largest, fastest-growing AI companies. This is the first role of its kind, unifying all the field engineering roles into a cohesive team.

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 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 field engineers capable of guiding AI native customers across a wide range of data, analytical, and AI workloads.
• Adapt the team's skills and engagement model to match the needs of digital and AI native customers
• Consistently meet or exceed targets by making sure the 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 in 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