Business Development Rep at Databricks Canada ULC

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

0.0

Posted On

26 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Value-Based Selling, Big Data, Artificial Intelligence, Inbound Sales, Outbound Sales, Lead Qualification, Email Outreach, Cold Calling, Social Selling, Opportunity Qualification, Client Requirement Identification, Technical Comprehension

Industry

Software Development

Description

SLSQ227R444 Databricks is at the forefront of the Unified Data Analytics field, where innovation is key to providing our clients with a competitive edge in today's fast-paced business landscape. We are looking for a Business Development Representative to help drive revenue growth within the India Market. If you're a results-oriented sales professional with a track record in similar roles, aiming to contribute to the expansion of a transformative enterprise software company and propel your career, this role is for you. Reporting to the Manager of the India Sales Development team, you'll play a pivotal role in this journey. The impact you will have: Cultivate expertise in value-based selling, big data, and AI. Evaluate and prioritize the inbound leads from Marketing initiatives. Craft outbound strategies encompassing personalized emails, cold calls, and social selling to qualify opportunities. Devise compelling outreach campaigns targeting diverse buyer levels, including senior executives, to unlock opportunities in critical target accounts. Identify and uncover client requirements, progressing discussions into sales prospects by demonstrating how Databricks can address their data-related challenges. What we look for: Preferably a minimum of 1-2 years of prior experience in inbound and outbound sales and inquiries. Proficiency in comprehending technical concepts, coupled with genuine enthusiasm for technology. Determination and courage to excel and contribute to the growth of the next top-tier enterprise software company. Demonstrated a history of consistent, quantifiable achievements in previous roles. Curiosity and eagerness to continually learn and stay abreast of developments in the big data/AI sector. A strong sense of ownership and accountability. 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. 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, please visit https://www.mybenefitsnow.com/databricks. 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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Responsibilities

The representative will be responsible for cultivating expertise in value-based selling, big data, and AI, while evaluating and prioritizing inbound leads from marketing initiatives. Key activities include crafting outbound strategies like personalized emails, cold calls, and social selling to qualify opportunities and devise outreach campaigns targeting senior executives.