Account Executive (UK)

DigitalGenius
London
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Director, Data Science - Market Access

Senior Recruitment Consultant- Artificial Intelligence, DACH

Director of Oncology Genomics & Data Science

Sr. Data Scientist

Technical Solutions Engineer – Deep-Tech AI (RetailTech / Computer Vision)

Technical Solutions Engineer – Deep-Tech AI (RetailTech / Computer Vision)

DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the world's largest customer service operations and high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through artificial intelligence. Our team is global with colleagues based in the UK, US and Europe. We are proud of our achievements and continue to strive for the unknown.

The Role

Here at DigitalGenius, the goal is to become the world’s leading automation platform in e-commerce.

In the sales team, you’ll find a team of dynamic and adaptable individuals who are passionate in hunting new business and introducing our product, to help companies to improve their customer experience. We are adaptable sales-driven professionals who have high standards of performance, and who want to win and be part of a successful team.

We are seeking a successful Account Executive looking to take the next step in their career. The right candidate will be a high-energy, self-motivated individual with a history of achieving and exceeding sales quotas.

Responsibilities

  • Manage a pipeline of opportunities and identify, engage, and develop relationships with potential buyers
  • Educate prospects to help them learn how DG will enable help their business to operate more efficiently and grow revenue
  • Prepare, organise, structure your deals following our sales processes, from value creation to negotiation and closing following MEDDPICC qualification
  • Run compelling discoveries and demos of DigitalGenius platform (with Sales Engineer), whilst discovering what value we can bring to the relevant stakeholders
  • Work with SDR team to qualify new inbound and outbound opportunities as well as generating your own
  • Manage a territory of some of the top e-commerce brands in the market
  • Proactively establish new relationships within the e-commerce industry using a combination of networking online, events & the tools provided
  • Use your experience & knowledge to help the entire sales team thrive & develop
  • Ensure the CRM is up to date and report back to leadership regularly on pipeline, performance and forecast

Requirements

  • Bachelor’s degree or above
  • 2-5 years of work experience as an Account Executive (preferably SaaS, customer experience or e-commerce)
  • Evidence of exceeding quota and generating pipeline
  • Proven track record in being able to balance self-prospecting with closing
  • Highly organised throughout prospecting, customer communications and CRM management
  • Have excellent communication (verbal and written), negotiation, and interpersonal skills
  • High emotional intelligence and an expert communicator with the ability to generate rapport with anyone and everyone
  • Self-motivated, proactive and flexible with a can-do attitude, necessary to thrive in a growing startup environment
  • Ability to follow and contribute to our Sales Playbook, iterating alongside our growth
  • Familiar with or willingness to learn core technology tools
  • Have a strong understanding of sales principles and the ability to deliver excellent customer experience
  • Passion for tech sales

Benefits

      • Start up culture
      • Competitive salary
      • Generous vacation time
      • Quarterly team events / perks
      • Annual company week off
      • Travel pass or Gym Membership
      • Birthday day off
      • Wework pass

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.