Account Executive - West

Databricks
Mumbai, IndiaPosted 24 February 2026

Job Description

<p>As an 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 Data Intelligence Platform.</p> <p>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.</p> <p><strong>The impact you will have:</strong></p> <ul> <li>Prospect for new customers</li> <li>Assess your existing customers and develop a strategy to identify and engage all buying centres</li> <li>Use a solution approach to selling and creating value for customers</li> <li>Identify the most viable use cases in each account to maximise Databricks' impact</li> <li>Orchestrate and work with teams to maximise the impact of the Databricks ecosystem on your territory</li> <li>Build value with all engagements to promote successful negotiations and close</li> <li>Promote the Databricks enterprise cloud data platform</li> <li>Be customer-focused by delivering technical and business results using the Databricks<strong> </strong>Data Intelligence Platform</li> <li>Promote Teamwork</li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>You have previously worked in an early-stage company and you know how to navigate and be successful in a fast-growing organisation</li> <li>5+ years of sales experience in SaaS/PaaS, or Big Data companies</li> <li>Prior customer relationships with CIOs and important decision-makers</li> <li>Simply articulate intricate cloud technologies and big data</li> <li>3+ years of experience exceeding sales quotas</li> <li>Success closing new accounts while upselling existing accounts</li> <li>Bachelor's Degree</li> </ul><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">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 <span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/databrickssource=gmailust=1700237575733000usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>, <a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/databrickssource=gmailust=1700237575733000usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a> <span style="color: rgb(0, 0, 0);">and</span> <a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksincsource=gmailust=1700237575733000usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a></ ... (truncated, view full listing at source)