Strategic Enterprise AE - Data Infrastructure & Storage | UK Lead

Strategic Enterprise AE - Data Infrastructure & Storage | UK Lead

Full-Time 160000 - 160000 £ / year (est.) No working from home possible
ESP

At a Glance

  • Tasks: Drive new business and build relationships with major banks and enterprises.
  • Company: ESP, a leading player in data infrastructure and storage.
  • Benefits: Base salary up to £160k, uncapped commission, and strong support.
  • Other info: Join a growing team with exciting career advancement opportunities.
  • Why this job: Engage with C-level executives and make a significant impact in the financial sector.
  • Qualifications: Proven experience in enterprise sales and relationship building.

The predicted salary is between 160000 - 160000 £ per year.

ESP is seeking a Senior Enterprise Account Executive to drive new business across Financial Services and other large enterprises in London & the UK.

You will engage at C-level, targeting major banks and financial institutions for one role and large enterprises for others, developing long-term, high-value relationships you can bring and develop.

The role offers a base salary up to £160k with uncapped OTE, uncapped commission, and strong internal support as the UK team grows.

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Strategic Enterprise AE - Data Infrastructure & Storage | UK Lead employer: ESP

Join a pioneering AI scale-up in London that is transforming the financial services landscape with cutting-edge technology. As an Account Executive, you'll be part of a high-IQ culture that fosters collaboration and relentless curiosity, offering exceptional career growth opportunities and competitive compensation. This role not only allows you to engage with top-tier financial institutions but also empowers you to shape the future of institutional finance through innovative AI solutions.

ESP

Contact Details:

ESP Recruitment Team

We think you need these skills to ace Strategic Enterprise AE - Data Infrastructure & Storage | UK Lead

Communication Skills
Problem-Solving Skills
Attention to Detail
Data Engineering
SQL
Python
Data Pipeline Development