Databricks

Compensation

Full Description

Job Description: • 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 Requirements: • 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 Benefits: • Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks