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Databricks

Builds cloud software for data analysis and AI

Senior Manager - Sales Development

Sales Development RepresentativeConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A minimum of 3–4 years of 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 developing top talent.
  • Experience leading through change.
  • Proficiency using Salesforce and Outreach.io; experience with AI tools is advantageous.
  • Experience with sales processes focused on value selling, prospecting, and opportunity qualification.
  • Ability to adapt to a fast-paced environment.
  • Passion for cloud, big data, and artificial intelligence.

Responsibilities

  • Lead the Bangalore-based Business Development teams and help expand the business across the India region.
  • Build and execute pipeline generation and consumption growth strategies while coaching and developing Business Development team members.
  • 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 strategies to accelerate new customer acquisition and consumption growth.
  • Manage the team's pipeline target and actively coach team members to succeed.
  • Work with cross-functional regional leaders to maximize the team's contribution.
  • Analyze team performance and funnel data to identify and address inefficiencies.
  • Adopt and implement artificial intelligence strategy for pipeline generation and the team's daily workflows.

Desired Qualifications

  • Additional experience with artificial intelligence tools.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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