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

Apply Now

Enterprise Account Executive - Scientific Data Cloud (UK/EMEA)

Seekup Strategies
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist, AWS Industries

Business Development Manager - VMware

Senior AI Agent Engineer (Machine Learning)

Senior Data Science Strategist - Featurespace

Principle Enterprise Architect - Artificial Intelligence (1 Braham Street, London, United Kingdom)

Data Scientist - Contract UK

Our client isexperiencing rapid growth and is seeking an Enterprise Account Executive tojoin their expanding Enterprise Sales Team. This role is pivotal indemonstrating the value of our Scientific Data Cloud to potential clients. Asan Enterprise Account Executive, you will be instrumental in developing andmanaging a sales territory, segmenting target lists, leading large accountacquisition efforts, and guiding stakeholders through the sales process tosuccessful closure. You will be responsible for creating, managing, andexecuting the engagement strategy for your designated accounts. A collaborativeapproach, exceptional teamwork, and a strong commitment to customer success areessential.

Responsibilities:

·Spearhead the adoption and expansion of ourclient’s Scientific Data Cloud within your territory.

·Oversee the entire sales process from prospectingand qualifying to closing.

·Discover and cultivate new opportunities withinexisting and target accounts.

·Provide accurate forecasts and maintain clearvisibility on sales and revenue performance through diligent pipelinemanagement and weekly sales updates.

·Collaborate with internal teams (Legal,Engineering, Marketing, Product) to navigate complex sales cycles efficiently.

·Contribute to team growth and mentor colleagues.

·Deliver engaging presentations on our client’sData Integration Products and strategic vision to diverse audiences, includingRD IT, Informatics, Scientists, Data Scientists, Directors, VPs, CDOs, andDigital Transformation Executives.

·Travel to customer sites and industry events topromote and advocate for our client’s products.

Requirements:

·Minimum of 5 years in a sales role within CloudData and Life Sciences software.

·Proven ability to explain how complex dataplatforms manage ingestion, harmonization, orchestration, and support AI/MLapplications.

·Experience closing $1M+ SaaS sales opportunitiesand managing large accounts.

·Comprehensive understanding of all sales stagesfrom Prospecting and Qualifying to Presentation, Demonstration, POC,Negotiation, and Closing.

·Familiarity with modern sales methodologies suchas Force Management, MEDDIC, MEDPIC, Challenger Sales, Target Account Selling,Revergy, or similar.

·Experience with digital sales tools (e.g.,Salesforce, LinkedIn Navigator, ZoomInfo, SalesLoft) and proficiency in SocialSelling.

·Strong understanding of forecasting and effectivetime management.

·Excellent written and verbal communication skills.

·Ability to excel in a dynamic and evolving workenvironment.

·Unwavering commitment to achieving success andadvancing your career.

·Experience in Biotech, Life Sciences, or BigPharma is highly desirable.

·Ideal candidates will have a background in sellingdata science, AI, and ML solutions, particularly within the Pharma LifeSciences sector.

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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

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.

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.