招聘

Strategic Hunter Account Executive - Retail
Central - United States; Northeast - United States; Southeast - United States
·
On-site
·
Full-time
·
1mo ago
Compensation
$245,300 - $343,475
Benefits & Perks
•Stock options
•Health benefits
•Team trips
•Uncapped earning potential
•Base salary plus commission
•President's Club
•Equity
•Healthcare
Required Skills
Outreach
Zoom
HubSpot
SLSQ426R149
For this Strategic Enterprise Account Executive role at Databricks, you will be selling to high-growth Retail accounts. We are looking for a Strategic AE that knows how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. This will be a (2) account Strat patch and you will be responsible for closing net new logos. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment.
The impact you will have:
-
You will have a direct influence on the data strategy of the most disruptive companies today
-
You will communicate account strategy to Databricks Senior Leadership on a regular basis
-
You will allocate Databricks resources to break into new accounts and grow existing accounts
-
Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes
-
Exceed activity, pipeline, and revenue targets
-
You will use a creative, fail-fast approach to selling and creating value for customers
-
You will build a plan for success internally at Databricks and externally with your accounts
What we look for:
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Passion for selling a highly technical product in the cloud
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5+ years of experience with Open Source Technologies and build vs buy decision-making
-
5 -10 years of experience with Value Selling Methodologies
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A creative salesperson with a well-defined prospecting motion
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Sales experience within big data, Cloud, or SaaS sales
-
Proven years of experience exceeding sales quotas
-
Grit, Grind, Tenacity. As a greenfield account executive, we are looking for those that are excited to break into new business and have experience doing so.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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**$245,300**—$343,475 USDZone 2 Pay Range**$245,300**—$343,475 USDZone 3 Pay Range**$245,300**—$343,475 USDZone 4 Pay Range**$245,300**—$343,475 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.
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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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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·
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