Quick Summary
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.
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.
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.
- 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 Data Intelligence Platform
- Promote Teamwork
- You have previously worked in an early-stage company and you know how to navigate and be successful in a fast-growing organisation
- 5+ years of sales experience in SaaS/PaaS, or Big Data companies
- Prior customer relationships with CIOs and important decision-makers
- Simply articulate intricate cloud technologies and big data
- 3+ years of experience exceeding sales quotas
- Success closing new accounts while upselling existing accounts
- Bachelor's Degree
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 https://www.mybenefitsnow.com/databricks.
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.
Listing Details
- Posted
- February 19, 2026
- First seen
- March 23, 2026
- Last seen
- April 7, 2026
Posting Health
- Days active
- 15
- Repost count
- 0
- Trust Level
- 45%
- Scored at
- April 8, 2026
Signal breakdown

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.
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