Enterprise Account Executive (EMEA)

Posted:
9/18/2024, 7:35:12 AM

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Sales & Account Management

Who we are 

At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models.  Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.

What we are building

The mission of the Geo Sales team is to position Domino as the single platform for data science across the enterprise and to support Domino’s entrance and expansion across the EMEA region. Our main focus will be net-new logo hunting, with you taking ownership of your own pipeline generation, running the entirety of the sales cycle and closing business within new logos. There will also be some customers to help renew and expand, in partnership with our Customer Success team. Ultimately, you will be helping Domino execute better at enterprise-level selling and to engage more mid-senior stakeholders across Business & IT.

What your impact will be

 In your first year, your impact will be   

  • Position Domino for success in the account by properly aligning our people to the customer. Specifically making it clear how product management, services, sales and executive leadership engage with the customer.
  • Manage and communicate with the customer-specific ecosystem of partners and competitors.
  • Uncover opportunities for the customer/prospect to use Domino software, set the selling strategy and execute on the sales cycle.
  • Close £1m+ of new ARR within FY25.
  • Open and maintain relationships with executives at the Director, Exec Dir, VP and C-level. Specifically, have natural text-message communications with at least 2-3 people.
  • Manage and communicate with the customer-specific ecosystem of partners and competitors.

What we look for in this role

  • Experience selling a complex, technical enterprise software solution
  • 8+ years of large enterprise selling experience (FTSE250)
  • Consultative selling approach; thoughtful and value-oriented
  • Track record of securing £1m+ software contracts 
  • Strategic account and territory planning; lots of experience calling high and strategically into enterprise accounts
  • Confidence and communication which enables you to quickly build credibility and relationships with exec level stakeholders, up to c-suite 
  • Analytical approach; seasoned with how to leverage a variety of prospecting tools (whatever empowers them to do their job well), Salesforce
  • Understanding of AI/ML technologies 
  • Prospecting - using cold-call techniques to open conversations in new areas of an account

What we value

  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work. 
  • We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything. 
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.

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Domino Data Lab

Website: https://www.dominodatalab.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 251-500

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series F

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Big Data ⋅ Data Mining ⋅ Enterprise Applications ⋅ Enterprise Software ⋅ Machine Learning ⋅ Software