Account Executive AI SaaS

Reuben Sinclair | Sales, Marketing, PR, Data and Digital Recruitment
Leeds
11 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist - Healthcare

Senior Practice Lead - Data Science_ UK

Director, Data Science - Measurement & Optimization

Sr. Data Scientist

Lead/Senior Data Scientist - Ad Tech Locational Data

Data Scientist - User Fraud

Account Executive – AI-Powered Solutions

Location:UK-based

Salary:Competitive + Commission

Sector:SaaS / HR Tech / AI


We are working with an innovative AI-driven solutions provider that is transforming the way companies execute key business functions. Their mission is to create a faster, more robust processes by eliminating bias and inefficiencies in high-volume, traditionally manual tasks. With a strong presence across US, UK, and Europe, they partner with some of the world’s most trusted brands to deliver faster, more accurate outcomes.


Due to continued expansion, we are assisting hiring for ahigh-energy, results-driven Account Executiveto drive growth in the UK and European market. This is an exciting opportunity to be part of a cutting-edge company at the forefront of AI technology and Machine Learning.


The Role


This is a 100% solution-based sales role, where you will act as a trusted advisor to organizations adopting AI or Machine Learning for the first time within many of their business functions. You will be responsible for identifying new opportunities, managing the full sales cycle, and ensuring a smooth transition for clients onto the platform.


Key Responsibilities

  • New Business Development:Proactively identify and engage potential clients within your assigned territory. This role is suited to someone who thrives on hunting for opportunities rather than relying on inbound leads.
  • Sales Ownership:Lead the entire sales cycle, from initial outreach and product demos to contract signing.
  • Revenue Growth:Consistently achieve and exceed annual sales targets.
  • Industry Expertise:Develop a deep understanding of the company’s platform and competitive landscape.
  • Stakeholder Engagement:Build strong relationships with decision-makers at all levels, from Talent Acquisition leaders to C-suite executives.


What We’re Looking For

  • 4+ years of experience in B2B SaaS sales, ideally within enterprise Tech or AI related solutions
  • A proven track record of meeting or exceeding a $500,000-1M annual sales quota.
  • Strong consultative selling skills with the ability to educate and influence buyers.
  • Highly motivated and self-sufficient, with a proactive and ambitious approach
  • A team player who thrives in a fast-paced, high-growth environment.


Why Join?

  • Work with cutting-edge AI technology that is making a real impact
  • Join a remote-first company that values flexibility, autonomy, and work-life balance.
  • Be part of a diverse and inclusive team that is passionate about ethical hiring.
  • Competitive salary, commission structure, and opportunities for growth.

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.

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.