Account Executive (HPC)

asobbi
Liverpool
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Engineer (AEOI)

Project Support Specialist/Data Analyst

Data Analyst

Data Analyst

Data Engineer (18 Months FTC)

Join a cutting-edge team revolutionizing the AI GPU cloud industry with a focus on deep learning technology. Their clients include industry leaders in various sectors, including technology, aviation, and manufacturing.

If you're passionate about shaping the future of AI infrastructure and enjoy working in a dynamic environment, we invite you to apply for the following position:

This is a remote role based in the UK.

Account Executive (HPC):

Job Purpose:

As an Account Executive, you will be responsible for driving multi-million dollar deals with top-tier Fortune 500 companies and overseeing large-scale private GPU deployments. Your role will involve:

Responsibilities:

  • Cultivating strategic relationships with key decision-makers within targeted verticals
  • Forecasting revenue goals and capitalizing on short and long-term revenue opportunities
  • Managing strategic accounts and formulating account plans to expand business opportunities
  • Leading complex, consultative sales processes with a technical focus
  • Contributing to outbound strategy development, including on-site presentations, executive networking, and conference participation
  • Collaborating with product and marketing teams to shape offerings tailored to new market segments

Requirements:

  • In-depth understanding of the AI GPU industry
  • Proven ability to establish rapport quickly and assess customer interest in building partnerships
  • 5+ years of direct sales experience within Fortune 100 sales
  • Background or keen interest in AI solutions, cloud computing, GPU hardware, or infrastructure as a service (IaaS)
  • Demonstrated success in managing multi-million dollar customer relationships and closing significant deals
  • Experience in sectors such as healthcare, medical research, drug discovery, protein folding, or digital imaging is advantageous
  • Proficiency in engaging in business-level and technical discussions across various organizational levels
  • Enthusiasm for exploring new markets and driving growth
  • Strong interpersonal skills and ability to collaborate effectively across departments and with external stakeholders
  • Willingness to mentor team members and contribute to a collaborative work environment
  • Flexibility to travel extensively

Nice to Have:

  • Background in product or engineering
  • Salary Range Information:

The salary range for this role is £120,000-£240,000 OTE, with a base/commission split of 50/50. Equity will be included in the package. Adjustments may be considered based on candidate qualifications.

A Final Note:

We welcome candidates from diverse backgrounds and experiences. You do not need to meet all listed requirements to apply. We are committed to fostering a team that reflects a range of perspectives and talents.

If you're ready to join a forward-thinking team at the forefront of AI innovation, apply now!

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.