Location: San Francisco Bay Area, California REQ ID FEQ127R103 Mission We are seeking experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space
Outcomes You work with multiple clients as the main technical voice for Databricks
You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the account, in close understanding of the strategy
You build a movement of technical champions within the account
You align technical strategies around Databricks solutions
You provide structured mentorship for other team members
Gain the respect of your peers based on your experience, insight, and contributions
Competencies: Proficiency at establishing virtual teams, and leading them to ultimate success within the account
Experience working very large (> $1m ARR), global accounts
Form relationships with executives and influencers
Present a convincing point-of-view to important decision-makers that leads them down a path of success
Technical in big data, data science and cloud
An ability in data-driven business transformation, and driving change with data
Production programming experience in Python, R, Scala or Java Nice to have: Databricks Certification 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