P-347
As an Inbound Sales Development Representative at Databricks, you'll manage your queue of inbound leads, researching them on the internet, calling them to understand their needs, qualifying their interest, and creating opportunities for Account Executives.. You will learn to understand the important needs of our prospects and communicate the core values of the Databricks platform with the goal of scheduling a discovery call with them. You will be eager to grow in our organization by demonstrating their ability to be tenacious self-starters every day. We're looking for goal-driven, team-centric professionals who demonstrate a high level of discipline, curiosity, and grit.
The impact you will have:

• Manage a high volume of inbound leads with a strategy to prioritize those leads
• Research and understand the needs of various lines of business and target personas
• Identify technical pain points in prospects' current Data AI solutions and connect to value
• Learn how to anticipate and overcome objections
• Build credibility and trust with partners
• Demonstrate adaptability and flexibility as part of an ever-growing sales organization

What we look for:

• 1 year of professional work experience
• Clear written and verbal communication skills
• Excellent organization skills and ability to prioritize in a fast-paced environment
• Self-motivated individual with a history of meeting goals
• Motivated by purpose and winning with a team-first attitude
• Genuine curiosity in the Cloud, big data and ML/ AI space
• Bachelor's degree preferred

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)
• Mental wellness resources

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$72,000-$72,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Cond 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.