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

Apply Now

Enterprise Sales Specialist

Wilson Grey
London
8 months ago
Applications closed

Related Jobs

View all jobs

AI- Machine Learning Specialist

Principal Consultant – Artificial Intelligence

Solution Consultant - IT & Data Science (EMEA)

Solution Consultant - IT & Data Science

Business Development Manager - VMware

Data Scientist (Information Retrieval)

Enterprise Sales Specialist

opportunity with a fast-growing AI startup. This is a remote role based in the UK.This position will best fit either:

A top-billing enterprise salesperson who has sold AI products to technical stakeholdersORA quota-carrying sales engineer within AI

Either way, the ideal candidate is someone with a passion for guiding clients through cutting-edge technology and smashing their 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 Specialist, 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 benefitsConduct meetings remotely and in person when appropriateRun technical demos tailored to address customer challenges and goals, and provide sales team training on demosDevelop resources, conduct webinars, and create presentations and videos to inform customers about the client’s AI platformCollaborate 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 enterprisesBachelor's degree, preferably in a technical field, or equivalent experienceRecent experience in a tech startup or high-growth scale-upYou enjoy the entire sales process, from initial prospect research through to closing dealsDemonstrable track record of closing deals and hitting sales targets of £1mil+ ARRTechnical background or have sold a complex product to a technical audience

On offer

:Base salary of £85k - £95k + Double OTEHealth InsuranceGym membershipFlexible, 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

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 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.