Synced from Greenhouse · Aug 26

Sales Development Manager

DatabricksBengaluru, IndiaPosted Aug 26, 2026
Sales Development RepresentativeSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Aug 26
Posted
Greenhouse
Applicant system
Job descriptionReq 8741927002

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Sales Development Manager
Databricks · Bengaluru, India
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