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채용Databricks

Named Hunter Account Executive, Retail

Databricks

Named Hunter Account Executive, Retail

Databricks

United States

·

On-site

·

Full-time

·

2mo ago

보상

$245,200 - $337,150

복지 및 혜택

Healthcare

Equity

Parental Leave

Gym

Mental Health

필수 스킬

Enterprise Sales

Cloud software sales

MEDDPICC

Value selling

Salesforce

SLSQ127R630

As an Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Retail & Consumer Packaged Goods accounts. You know 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. Always looking for new opportunities, you will be asked to close new accounts while maintaining existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment.

The impact you will have:

  • Assess your accounts and develop a strategy to identify and engage all buying centers

  • Use a solution-based approach to selling and creating value for new logo accounts

  • Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle

  • Identify and close quick wins while managing longer, complex sales cycles

  • Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce

  • Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact

  • Orchestrate and work with teams to maximise the impact on your ecosystem

  • Build value with all engagements to promote successful negotiations to close point

  • Be customer-focused by delivering technical and business results using the Databricks Intelligence Platform

What we look for:

  • 5+ years of enterprise sales experience exceeding quotas, covering relevant accounts and industries

  • Strong closing experience and evidence of exceeding sales quota

  • Sales experience within Cloud software, open source technology, or ideally Data and AI space

  • Methods for co-developing business cases and gaining support from C-level Executives

  • Familiarity with sales methodologies and processes (e.g. Territory and Account planning, MEDDPICC, and value/discovery selling)

  • Simply articulate intricate cloud technologies

  • Bachelor's Degree or equivalent experience preferred

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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Databricks 소개

Databricks

Databricks

Series I

Databricks, 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