Enterprise Account Executive

Orama Solutions
London
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Chief Artificial Intelligence & Data Officer - Ministry of Defence - SCS2

Research Fellow in weather forecast postprocessing with Machine Learning - School of Geography,[...]

Enterprise AI Solution Architect: Generative AI & MLOps

Senior Enterprise Architect - Artificial Intelligence

Orama Solutions are proud to be partnered with an Open Source Data platform flying high after a $30m+ total funding. The product leverages AI and Machine Learning to revolutionise how we utilize data.


The Role

The role is a fully remote Enterprise Account Executive position with a New Business focus selling a Data platform across EMEA.


Company Highlights

  • 300% ARR growth for consecutive years closing last year on $10m ARR.
  • £30m Series A, gearing up for a Series B round.
  • 100 inbound leads per month coming into the sales org.
  • Every ramped rep meeting quota in year one. Top performer at 200%.
  • Hired Reps from leading reps from Astronomer, Databricks, Imply and Dremio.
  • CRO, CMO, BDR team, Presales and Customer Success in place.
  • Closed logo in the Fortune 10 list.
  • 50+ Enterprise customers (Figma, LinkedIn, Notion, PayPal, Riskified, Expedia, etc)
  • Co-Founders former foundational engineers for both Airbnb and LinkedIn.


Product

Metadata platform that drastically reduces cost of data catalogue maintenance by ONLY operating once triggered. This technology is a one stop shop as this data catalog provides solutions for data discovery, governance, lineage and observability!


Experience needed to apply

  • Multiple years of experience in selling Data products and platforms at the Enterprise level in the EMEA territory
  • A strong sales process and a startup mentality. Ideally Series A or B selling experience.
  • Closed Multiple six figure deals.
  • Rolodex of Data personas.
  • Successful track record of over achieving quota with past companies (100%+) for consecutive Financial Years.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.