Enterprise Account Executive (Core Accounts - Poland) London, United Kingdom

Overview

Enterprise Account Executive (Core Accounts - Poland) Remote role based in the UK, Germany, or other EMEA Databricks locations. Focus on expanding our existing book of business in Poland & the CEE region. Reporting to the Director, Enterprise Sales. You will focus on enhancing established commercial relationships and closing new business opportunities within a small, targeted portfolio of existing, enterprise-class clients in Poland & the CEE region. You should bring an informed point of view on data, advanced analytics and AI to guide your strategy and deliver genuine value to these clients.

The impact you will have

• Assess your key accounts and develop a strategy to meet and exceed revenue and consumption goals
• Implement the above strategy to meet and exceed revenue and consumption targets
• Build positive relationships with key decision makers (up to and including C-level) and establish yourself as a trusted advisor for data and AI-related subjects
• Identify new business opportunities and develop the expand / consumption use cases within your key accounts
• Orchestrate and utilise internal teams to maximise the impact on your ecosystem
• Showcase exceptional value with all engagements to guide successful negotiations to close deals

What we look for

• Successful track record of meeting and exceeding sales quotas and KPIs
• Experience selling to large enterprise-class customers in Poland & the CEE region
• Proven experience selling complex software deals
• Understanding of consumption-based land and expand sales models
• Evidence of creating demand that delivered substantial business value
• Experience following robust sales methodologies and processes, e.g. account planning, MEDDPICC, Value Selling, Command of the Message and accurate forecasting
• Experience building effective champions and collaborative teams to support execution of your territory plan
• Experience developing a clear partner strategy and managing it to success
• Understanding how to identify important use cases and buying centers to increase Databricks impact
• Fluent English and Polish language skills are essential

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide 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.

Benefits

Databricks strives to provide comprehensive benefits and perks. For specific details on the benefits offered in your region, please visit the linked benefits page.

Our Commitment to Diversity and Inclusion

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We ensure hiring practices are inclusive and meet equal employment opportunity standards. Individuals 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 the Employer's discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.

Apply for this job

Indicates a required field

First Name Last Name Email Phone
Country Phone Resume/CV Attach (pdf, doc, docx, txt, rtf)

Cover Letter Attach (pdf, doc, docx, txt, rtf)

LinkedIn Profile / Website

How did you hear about this job?

Are you legally authorized to work in the country in which you are applying?

Do you now or will you in the future need sponsorship for employment visa status in the country in which you are applying?

Do you currently or have you previously worked for Databricks in the past?