Sr Manager, Startup Sales

SLSQ425R48

We are expanding our team and looking for a Sr Manager of Sales, Start-ups to own, develop, and execute the strategy to acquire and grow early to mid-stage startup customers. You will be responsible for building and leading a team of Account Executives focused on growing consumption and user adoption across the customer base, positioning Databricks as the core of the customer’s data/AI stack. Your team will be measured on revenue quota attainment, new logo acquisition, expansion, and retention of existing customer accounts. This is a team of motivated and coachable sellers so we are looking for someone who has a growth mindset and loves developing Account Executives into rising stars.

The impact you will have:

• Build, develop and inspire a high-performing team of Account Executives to help them overachieve on their goals and objectives 
• Drive AI transformation in the Startup ecosystem by winning core AI and data intelligence workloads 
• Own and exceed your teams annual sales targets by driving platform adoption across all product lines while accurately forecasting a consumption-based business
• Act as a trusted advisor to technical co-founders, helping them build market-leading data and GenAI products
• Become a core part of the US Startup ecosystem via relationships with founders, VCs, Incubators and Accelerators
• Engage with with go-to-market, field engineering, and partner teams to define and execute a consistent coverage model that results in a healthy and durable business  
• Create long term customer value through the negotiation and execution of committed contracts 

What we look for:

• 5+ years of successfully building and leading high-growth sales teams serving customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces.
• A proven track record of exceeding quota and thriving in hyper-growth environment
• Passion for people development with a focus on 1:1 and coaching within defined frameworks
• Entrepreneurial mindset with experience building new teams, businesses and/or products 
• Understanding of value and deployment of selling and sales methodologies such as MEDDPICC, Challenger, Command of Message.
• Experience developing partner ecosystems to help grow territories and ensure customer success
• Strong technical acumen with ability to learn new technologies and understand complex markets
• Excellent written and verbal communication skills as well as experience communicating with and presenting to the C Suite

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)

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$269,800—$477,400 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.

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