refresh

热门公司

Trending

招聘

JobsDatabricks

Sr. Named Hunter Account Executive

Databricks

Sr. Named Hunter Account Executive

Databricks

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team trips

Sales training

Generous PTO

Health benefits

Stock options

President's Club

Unlimited Pto

Healthcare

Equity

Required Skills

LinkedIn Sales Navigator

Outreach

HubSpot

As part of our accelerating APJ growth, Databricks is looking for a dynamic Enterprise Account Executive to join the founding team. This is an exciting Sales role that will make an important impact on the revenue and expansion of our business in APJ.

The impact you will have:

  • Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Enterprise Accounts across all industries

  • Prospect, identify and source new sales opportunities, building pipeline individually and with the Databricks SDR team

  • Engage with business and technical decision makers and lead them through the evaluation and buying process

  • Exceed individual activity, pipeline and annual revenue targets

  • Engage with and drive business through local partners (technology partners, ISVs, SIs and GSIs)

  • Drive customer success and upsell in existing customers

  • Create a Territory Strategy

What we look for:

  • Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology

  • Demonstrable experience of selling within major Singapore enterprise accounts

  • Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)

  • Ability to simply articulate intricate cloud & big data technologies and their business value for the customer

  • Proven success and upward trajectory in whatever you have done

  • Bachelors Degree and 7+ years of experience selling Saa

S solutions to Enterprise Customers:

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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Databricks

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+

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