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Role overview
Job description
SLSQ427R399 Databricks operates at the leading edge of the Data and AI space with a mission to help companies solve the world's toughest problems. We are seeking an experienced strategic sales leader to lead our Bangalore based Business Development teams and help us expand our business across the India region. Reporting to the Director, Sales Development, you will be an important contributor to our sales leadership team, building and executing pipeline generation / consumption growth strategies, while coaching and developing our Business Development team members. You will have experience driving pipeline generation leveraging AI, leading sales development teams and working with sales, a partner ecosystem and marketing teams. The impact you will have: Take the primary leadership role in developing an outstanding team Support and shape the strategy for pipeline generation within India in collaboration with the India Leadership team Create innovative strategies to accelerate new customer acquisition and consumption growth Manage your team's pipeline target and be active in coaching team members to be successful Work with cross - functional regional leaders to maximise the contribution of the team Analyze team performance and funnel data to identify and fix inefficiencies Adopt and implement AI strategy for pipe generation and daily workflows of your team What we look for: Minimum 3-4 years experience as a Sales Development manager with consistent overachievement against quota Experience in a quota carrying, end to end sales role with consistent overachievement against quota Experience in developing top talent Experience in leading through change Proficiency in using Salesforce and Outreach.io, additional experience with AI tools will be advantageous Experienced in sales processes focused around value selling, prospecting and opportunity qualification Ability to adapt to a fast paced environment Passion for cloud, big data and AI About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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. 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.
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About this listing
- Source: Databricks's official careers site · still listed there on 8 Nov 2026
- Posted 26 Aug 2026
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What they are looking for
Skills & requirements
Qualification
government license for such positions, and Employer may decline to proceed with an applicant on this basis alone
Department · Sales Development
Hiring company
Databricks
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.
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