Enterprise Account Executive

Confirmed live in the last 24 hours

Locations

London, UK

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

AWS

Microsoft Azure

Sales

Requirements

5 + years experience in a technical or software direct sales role, or Databricks knowledge
Experience at high growth and successful companies/organisations
Longevity with previous employers
Quota over-achievement when selling complex software and services to Enterprise accounts
Experience driving successful adoption of usage-based subscription 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
Familiarity with sales methodologies and processes, e.g Territory and Account planning, MEDDPICC, Challenger Sales, and Command of the Message
Experience in building effective champions, collaborative teams, and partnerships to support the execution of your territory plan
Success scaling your business through external partnerships

Responsibilities

You will co-develop a business plan, with your team and ecosystem partners, that is designed to attract greenfield customers
You will identify and close an average of 3 new logos per quarter and build a customer base
You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform
You will Identify land opportunities and develop the expand / consumption use cases
Orchestrate and utilise internal teams to maximise the impact on your ecosystem
Build exceptional value with all engagements to guide successful negotiations to the close point

Want to join a fast growth pre-IPO organisation that could define the next stage of your career?

Reporting to the Enterprise Sales Director for Retail and Consumer Goods (RCG), you will be supported by a team of accomplished big data, AI and industry specialists in an enablement and career-developing environment designed with a growth mentality.

The impact you will have:

You will co-develop a business plan, with your team and ecosystem partners, that is designed to attract greenfield customers
You will identify and close an average of 3 new logos per quarter and build a customer base
You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform
You will Identify land opportunities and develop the expand / consumption use cases
Orchestrate and utilise internal teams to maximise the impact on your ecosystem.
Build exceptional value with all engagements to guide successful negotiations to the close point.

What we look for:

5 + years experience in a technical or software direct sales role, or Databricks knowledge
Experience at high growth and successful companies/organisations
Longevity with previous employers
Quota over-achievement when selling complex software and services to Enterprise accounts
Experience driving successful adoption of usage-based subscription 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
Familiarity with sales methodologies and processes, e.g Territory and Account planning, MEDDPICC, Challenger Sales, and Command of the Message
Experience in building effective champions, collaborative teams, and partnerships to support the execution of your territory plan.
Success scaling your business through external partnerships

Benefits

Private medical, dental and cash refunds for health expenses
Life, disability and critical illness coverage
Group personal pension with company contribution
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel accident insurance

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

1,001-5,000 employees

Website

Unified, open platform for enterprise data

Company Overview

Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.

Benefits

Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave