Emerging Enterprise Hunter Account Executive (Mumbai) at Databricks

SLSQ427R64 As an Emerging Enterprise Hunter Account Executive your mission will be to help further build our India business, which is one of our fastest growing markets in APJ. The Databricks Sales Team is driving growth through strategic and innovative partnership with our customers, helping businesses thrive by solving the world's toughest problems with our solutions. You will be inspiring and guiding customers on their data journey, making organisations more collaborative and productive than ever before. You will play an important role in the business in India, with the opportunity to strategically build your territory in close partnership with the business leaders. Using your passion with technology and drive to build, you will help businesses all across India reach their full potential, through the power of Databricks. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. The impact you will have: • Prospect for new customers • Assess your existing customers and develop a strategy to identify and engage all buying centres • Use a solution approach to selling and creating value for customers • Identify the most viable use cases in each account to maximise Databricks' impact • Orchestrate and work with teams to maximise the impact of the Databricks ecosystem on your territory • Build value with all engagements to promote successful negotiations and close • Promote the Databricks enterprise cloud data platform • Be customer-focused by delivering technical and business results using the Databricks Platform • Promote Teamwork What we look for: • You have previously worked in high growth organisation and you know how to navigate in fast changing sales environment • 5+ years of sales experience in SaaS/PaaS, AI or Big Data companies in a hunting role preferably • Prior customer relationships with CIOs/CTOs and important decision-makers • High technical acumen and ability to engage with data platform and data science teams • 3+ years of experience exceeding sales quotas • Success closing new accounts while upselling existing accounts • Bachelor's Degree/Master's degree 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 Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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, please visit [Upgrade to PRO to see link] 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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. 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.