Sr. Manager, Sales Development
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
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About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the Bangalore-based Business Development teams, reporting to the Director of Sales Development. You will shape pipeline generation strategy for India with the India leadership team, coach and develop your team, manage the pipeline target, and adopt AI strategies for daily workflows.
Requirements
- 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
- Experience developing top talent
- Experience leading through change
- Proficiency in Salesforce and Outreach.io; AI tools experience advantageous
- Experience in value selling, prospecting and opportunity qualification
- Ability to adapt to a fast paced environment
- Passion for cloud, big data and AI
Responsibilities
- Take the primary leadership role in developing an outstanding team
- Support and shape pipeline generation strategy within India with the India Leadership team
- Create innovative strategies to accelerate new customer acquisition and consumption growth
- Manage your team's pipeline target and coach team members
- Work with cross-functional regional leaders to maximize the team's contribution
- Analyze team performance and funnel data to identify and fix inefficiencies
- Adopt and implement AI strategy for pipeline generation and daily team workflows