Account Executive - India

Full Time
Mumbai, Maharashtra, India
11 months ago

As we continue to increase our presence in the Unified Data Analytics and AI world, we're looking for a creative, motivated, and execution-oriented Enterprise Account Executive to sell to the growing Enterprise Segment within India to maximize the huge market opportunity that exists for Databricks today.

You will report to the Director, as an Account Executive, you will be experienced in selling to Digital Native accounts. You will come with an informed point of view on Big Data and Advanced Analytics which will guide your successful sales strategy together with both our teams and partners, allowing you to provide value to our biggest and most valued customers.

The impact you will have:

  • You will secure new logos with named strategic accounts in the Digital Native Segment
  • You will create a focussed and targeted logo acquisition strategy.
  • Expand Databricks use cases in existing and newly won accounts to maximise impact for customers.
  • Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
  • You will build value in all engagements to guide successful negotiations.
  • You will plan, document, and drive the growth of Databricks usage for your customers.
  • You will develop a deep and detailed understanding of the customer's business.
  • Provide leadership to the customer, important staff, and technical teams.
  • Identify all important data use cases and buying centres in an opportunity, to increase the impact of Databricks in an organisation.
  • Orchestrate and use Databricks teams and ecosystem partners to maximise your impact on your sales motions.

What we look for:

  • 8+ years experience selling multi-million dollar complex software deals to the region's most recognisable organisations within the Digital Native segment.
  • Selling experience to the Start up ecosystem.
  • Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
  • Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.
  • 4+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
  • 4+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
  • Build customer champions and collaborative teams to support the implementation of the expansion plan.
  • Understanding of how to develop a clear partner strategy and manage it to success

About Databricks

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.

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.