National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Enterprise Account Executive - HPC/AI (EMEA Travel)

Pure Storage
London
5 months ago
Applications closed

Related Jobs

View all jobs

Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions

Lead Architect - Data Engineering / Azure

Solution Architect (Data Engineering)

Graduate Data Engineer

Lead Data Engineer

Senior Data Engineer

BE PART OF BUILDING THE FUTURE.

What do NASA and emerging space companies have in common with COVID vaccine R&D teams or with Roblox and the Metaverse?

The answer is data, -- all fast moving, fast growing industries rely on data for a competitive edge in their industries. And the most advanced companies are realizing the full data advantage by partnering with Pure Storage. Pure’s vision is to redefine the storage experience and empower innovators by simplifying how people consume and interact with data.With 11,000+ customers including 58% of the Fortune 500, we’ve only scratched the surface of our ambitions.

Pure is blazing trails and setting records:

  • For ten straight years, Gartner has named Pure a leader in the Magic Quadrant
  • Our customer-first culture and unwavering commitment to innovation have earned us a certified Net Promoter Score in the top 1% of B2B companies globally
  • Industry analysts and pressapplaud Pure’s leadershipacross these dimensions
  • And, our 5,000+ employees are emboldened to make Pure a faster, stronger, smarter company as we go


If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark.

SHOULD YOU ACCEPT THIS CHALLENGE...

  • This role offers an exciting opportunity to be at the forefront of the AI revolution, selling solutions that are critical to advancing the field.
  • Evangelize our radically simple, all-flash enterprise storage technology and data solutions, ensuring customers fully grasp Pure’s total value proposition to organizations at the forefront of AI innovation.
  • Build and invest in relationships with customers to establish Pure’s value, continually driving the highest customer satisfaction ratings in the industry
  • Lead pursuit teams and develop account plans to make sure all internal resources are engaged to execute and win new Pure Customers
  • Drive and manage a healthy and robust pipeline of sales activity to assure quarterly and annual quotas are met or exceeded
  • Opportunity to thrive in our high-growth, fast-paced environment and play a key role in driving our company's success in the dynamic AI and HPC market


WHAT YOU’LL NEED TO BRING TO THIS ROLE...

  • Proven ability to develop and execute strategic sales plans to achieve and exceed quarterly and annual revenue targets. Plus Prospect, qualify, and close new business opportunities within assigned territories or accounts.
  • Track record of building and maintaining strong relationships with key decision-makers and influencers in target organizations
  • Staying at the forefront of AI industry trends, emerging technologies, and market dynamics
  • Can articulate the value proposition of our solutions in the context of AI and HPC workloads and engage in thoughtful discussions about AI and HPC applications, data pipelines, and infrastructure requirements
  • Collaborate with our product team to provide market feedback and influence product roadmap
  • Work closely with sales engineers, product specialists, and customer success teams to ensure client satisfaction
  • Partner with marketing to develop targeted campaigns and attend industry events
  • Collaborate with leadership to refine sales strategies and processes, messaging
  • Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
  • 10+ years of enterprise sales experience, with at least 3 years sales/bd selling to AI and HPC related technologies or solutions, with a focus on new logo acquisition or business development
  • Clear experience selling Business solutions to the C-Suite / SVP / & VP levels of F1000 companies
  • Demonstrable track record of consistently meeting or exceeding multi-million-dollar sales quotas in a high-growth environment
  • Knowledge of cloud computing platforms and their AI/ML services
  • Strong understanding of AI and HPC technologies, machine learning workflows, and related infrastructure requirements
  • Familiarity with data analytics, big data technologies, and data science workflows
  • Qualifications require experience outside of traditional storage for the past consecutive 5 years
  • As this is an office-centric role, you are expected to be present in the Staines office for 3 days a week. As outlined in Pure's Hybrid Work Policy, there will be variations over periods of time, depending on business need.

#LI-HYBRID

BE YOU—CORPORATE CLONES NEED NOT APPLY.

Pure is where you ask big questions, think differently, and make an impact. This is not just a job, but a place where you have a voice and can accelerate your career. We value unique thoughts and celebrate individuality, and with ample opportunity to learn, develop yourself, and expand into different roles, joining Pure is an investment in your career journey.

Through our Pure Equality program, which supports a flourishing field of employee resource groups, we nourish the personal and professional lives of our team members. And our Pure Good Foundation gives back to local and global communities through volunteering and grants.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.

PURE IS COMMITTED TO EQUALITY.

Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.


Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

If you need assistance or an accommodation due to a disability, you may contact us at .

APPLICANT & CANDIDATE PERSONAL INFORMATION PRIVACY NOTICE.

If you're wondering how or why Pure collects or uses information you provide, we invite you to check out our Applicant & Candidate Personal Information Protection Notice.

DEEMED EXPORT LICENSE NOTICE.

Some positions may require a deemed export license for compliance with applicable laws and regulations. Please note: Pure does not currently sponsor deemed export license applications so we are unable to proceed with applicants requiring stated sponsorship.

National AI Awards 2025

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 to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.