Role Description We are looking for experienced pre-sales professionals who have a successful track record 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 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. Zone Pay Ranges - Zone 2 Pay Range: $180,000 — $247,500 USD - Zone 3 Pay Range: $180,000 — $247,500 USD - Zone 4 Pay Range: $180,000 — $247,500 USD Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. - For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

• Own end-to-end technical engagement — run demos, guide Proof-of-Concepts (POCs), advise on architecture, and support smooth deployments. • Lead onboarding & long-term success — ensure customers adopt mirrord effectively and realize continuous value. • Act as a trusted advisor — deeply understand customer needs, troubleshoot technical issues, and provide best practices for cloud-native environments. • Partner cross-functionally — work closely with Sales, Product, and Engineering to shape our offering and influence roadmap priorities. • Build from zero to one — create scalable playbooks, documentation, and processes to support rapid growth across the region. • Be the Voice of the Customer — relay insights and feedback to help us iterate fast and keep developers delighted.

• Work with AEs and partners to grow OPSWAT business • Manage customer requirements, expectations, and solution buy-in • Maintain and frequently deliver high-impact demos • Manage, deliver, and present detailed responses to RFPs • Nurture partner relationships and their technical understanding of OPSWAT • Speak at conferences and seminars • Conduct workshops, proof of value, and post-sale transitions

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing