We are looking for a Manager of Emerging Sales to join our outstanding sales organization. You will be responsible for overseeing and motivating a team of Account Executives and you will be measured by your team's overall quota attainment, new business acquisition, and expansion into existing customer accounts. This is a team of motivated sellers so we are looking for someone who is comfortable leading teams and loves developing Account Executives into rising stars.
The Impact You Will Have
Promote Revenue Success: Build and exceed your teams quarterly/annual sales targets
Build and Implement Strategic Plans: Develop and execute evolving revenue plans and growth tactics
Create Trust-Based Relationships: develop long term customer, partner, and cross-functional relationships
Distill Customer Needs and Value: Help your team to understand commercial goals of your customer and how they relate to our value proposition
Manage the Voice of Databricks: Lead your team to communicate the value proposition through proposals and presentations
What We Look For
5+ years high-growth SaaS leader with experience leading a hybrid inside/field sales team.
3+ years of experience translating a highly technical product into quantified business value for the CSuite.
3+ years of experience selling against open source or freemium.
Demonstrated track record delivering working towards personal and team goals while to uplevel your process
Ability to influence, develop, and empower employees to achieve personal objectives with a team first mindset
Coach and develop sales fundamentals to Account Executives including and not limited to prospecting, forecasting, and negotiation tactic
Excellent written and verbal communication skills and experience presenting to the C Suite.
Willing to travel (
Bachelor's degree required.
Benefits
Benefits allowance
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel insurance
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.
Zone 1 Pay Range
$237,400—$419,800 USD
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Sales
Industries
Software Development
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