Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Enterprise Sales Executive

Wilson Grey
Newcastle upon Tyne
7 months ago
Applications closed

Related Jobs

View all jobs

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Mgr, BPT Data Architect

Mgr, BPT Data Architect

Mgr, BPT Data Architect

Enterprise Sales Executiveopportunity with a fast-growing AI startup. This is a remote role based in the UK.


  • Have you sold a highly technical SaaS or AI product?
  • Do the personas you've sold to include Data Scientists, Heads of Engineering and other technical stakeholders?
  • Have you exceeded ARR targets of £1mil?


If so, you will be a great fit for this role.


This position requires an experienced enterprise salesperson who has sold highly technical SaaS products or complex platforms, ideally with AI. You are someone who is skilled in guiding clients through cutting-edge technology and smashing your own sales targets.


Our client is an innovative tech company at the forefront of artificial intelligence transformation, empowering enterprises to unlock new possibilities through advanced AI and computer vision solutions.


As an Enterprise Sales Executive, you'll be a critical bridge between technical customers and our client’s AI solutions. You will take on a 360 sales role and directly engage with clients to understand their needs, deliver technical insights, and maximize the value of the platform.


This role combines sales skills, hands-on technical support and proactive customer education, enabling you to create a real impact for businesses adopting AI technology.


About the role:

  • End-to-end sales initially, from identifying prospects, lead generation, through demos, managing the deal and closing (you will supported by an SDR as the team grows)
  • Communicate directly with clients to understand their needs, propose solutions based on our client’s technology, provide technical guidance, and maximize platform benefits
  • Conduct meetings remotely and in person when appropriate
  • Run technical demos tailored to address customer challenges and goals, and provide sales team training on demos
  • Develop resources, conduct webinars, and create presentations and videos to inform customers about the client’s AI platform
  • Collaborate with R&D and Account Executives, and report on customer needs, market trends, and new product opportunities


About you:

  • Several years in technical B2B enterprise sales or a commercial sales engineer role selling to enterprises
  • Bachelor's degree, preferably in a technical field, or equivalent experience
  • Recent experience in a tech startup or high-growth scale-up
  • You enjoy the entire sales process, from initial prospect research through to closing deals
  • Demonstrable track record of closing deals and hitting sales targets of £1mil+ ARR
  • Technical background or have sold a complex product to a technical audience
  • Based in the UK full-time


On offer:

  • Base salary of £85k - £110k + Double OTE
  • Health Insurance
  • Gym membership
  • Flexible, remote working

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 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.