채용
SLSQ427R138
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
- As an Account Executive
- Enterprise Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across components of the 4th Estate. This role is focused on securing new logos and driving revenue growth. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Sr Director, Sales DOD.
The impact you will have:
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Secure new Enterprise accounts across multiple customers, creating a strong foundation for long-term partnerships.
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Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
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Identify and close quick wins while managing longer, complex sales cycles.
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Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
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Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
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Use a solution-based approach to selling and creating value for customers.
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Develop a deep and detailed understanding of the customer's business.
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Provide leadership to the customer, important staff, and technical teams.
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Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
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Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.
What we look for:
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5+ years of experience selling complex software deals to the region's recognizable organizations within the DOD/DOW space, specifically 4th Estate,
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Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem.
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Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.
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Experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
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Experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
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Build customer champions and collaborative teams to support the implementation of the expansion plan.
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Understanding of how to develop a clear partner strategy and manage it successfully.
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**$245,200—$337,150 USDZone 2 Pay Range$245,200—$337,150 USDZone 3 Pay Range$245,200—$337,150 USDZone 4 Pay Range$245,200—$337,150 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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모의 지원자 수
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Databricks 소개

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+
직원 수
San Francisco
본사 위치
$43B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.5
보상
4.0
문화
4.2
커리어
3.5
경영진
4.0
72%
친구에게 추천
장점
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good compensation and benefits
단점
Long hours and heavy workload
Poor work-life balance
High pressure and stress
연봉 정보
34개 데이터
Junior/L3
Mid/L4
Junior/L3 · ENTERPRISE ACCOUNT EXECUTIVE
1개 리포트
$147,000
총 연봉
기본급
$127,899
주식
-
보너스
-
$147,000
$147,000
면접 경험
5개 면접
난이도
3.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 80%
부정 20%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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