Enterprise Account Executive

Saleslogic
Bristol
1 year ago
Applications closed

Related Jobs

View all jobs

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

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

Consultant, Data Science and Business Analyst, AI & Data, Defence & Security

Enterprise Architect - Data Science, AI and ML

Enterprise AI Solution Architect: Generative AI & MLOps

AI/ML Enterprise Architect - Cloud & MLOps Leader

The Company:


My client are a company that specialises in the development of software solutions for the life sciences industry, particularly in the pharmaceutical and healthcare sectors. Their primary focus is on providing advanced data-driven decision support and customer engagement solutions for these industries.


The preferred candidate should possess 5+ of experience in successfully selling intricate solutions to the Life Sciences sector, demonstrated by a robust history of exceeding performance expectations. In this position, you will collaborate with various stakeholders across Sales, Marketing, Analytics, and IT business units to contribute to the evolution of their commercial model by applying and implementing AI and ML software.


The Role:


  • Cultivate and foster a dedicated list of prospects and clients with a focus on influencing positive changes in global healthcare.
  • Assist life sciences clients in transitioning to the realm of Artificial Intelligence to enhance their Commercial Performance.
  • Collaborate with the Team and their Technology Partners to keep clients updated on optimal methods for utilising software and services, thereby enhancing their go-to-market strategy.


Key Requirements:


  • 5+ years of successful sales experience in the Life Sciences environment
  • Past sales of Software as a Service (SaaS) platforms to commercial pharmaceutical entities
  • Successful history of selling Artificial Intelligence/Machine Learning (AI/ML) solutions to commercial pharmaceutical companies
  • Proven track record in selling substantial contracts to life science companies
  • Demonstrated expertise in introducing new customers to analytics, CRM, or other intricate products
  • Proficient in navigating large and complex sales processes
  • History of consistent top performance and achievement
  • Exceptional communication and persuasion skills
  • Extensive experience in selling to sales, marketing, analytics, and/or IT sectors



For the right candidate, the base salary is £100-120K + Double OTE. If working as the primary force propelling the company's remarkable growth sounds like you then please click ‘APPLY’, or alternatively email your CV to Kyle Maslen at Saleslogic –

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.

Education

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.

Jobs Careers

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.