refresh

热门公司

Trending

招聘

JobsDatabricks

Enterprise Account Executive - Consumer & Distribution

Databricks

Enterprise Account Executive - Consumer & Distribution

Databricks

London, United Kingdom

·

On-site

·

Full-time

·

2w ago

Required Skills

Enterprise sales

Account management

Sales methodology

Value-based selling

SaaS sales

SLSQ227R283

Do you want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.

This role presents a unique opportunity to expand Databricks’ presence within a set list of customers across top consumer and distribution companies in the UK and Ireland.

Reporting to the Enterprise Sales Director, the Enterprise Account Executive is an experienced sales professional focused on driving adoption of Databricks to unlock new value streams and expand Enterprise accounts. Passionate about solving business challenges, you excel at initiating and advancing conversations to value delivery using a defined methodology and playbook. Skilled at selling innovation, you guide deals to accelerate decision-making, articulate product value to customers and partners, and collaborate with cross-functional teams to grow existing accounts across a diverse territory.

The impact you will have:

  • The opportunity to work with cross-functional teams to build out Databricks solutions for customers within consumer and distribution industry verticals

  • 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 enterprise growth 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 secure tech wins to grow consumption while managing longer, complex sales cycles

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

  • 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 internal and external partner 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:

  • Strong closing experience and evidence of exceeding sales quotas

  • Sales experience within cloud data and AI software, ideally linked to open source technology

  • Track record of driving consistent high activity to generate, develop & accelerate pipeline

  • Familiarity with sales methodologies and playbooks (e.g. ICP, territory and account tiering, MEDDPICC, Powerbase and value selling)

  • Ability to navigate and be successful in a fast-growing organisation

  • Experience driving successful adoption of usage-based consumption services (SaaS) and co-selling with AWS, Azure and Google Cloud teams

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

  • Bachelor's Degree or equivalent experience preferred

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