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

Apply Now

Senior Field Sales Executive (Remote) (M/F)

Wolters Kluwer
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Strategic Analytics and Data Science Manager

Senior Strategic Analytics and Data Science Manager

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Director of Oncology Genomics & Data Science

Solution Consultant - IT & Data Science

Principal Consultant – Artificial Intelligence

#Bethedifference

If making a difference matters to you, then you matter to us.

Wolters Kluwer is a global leader in information services and solutions for professionals in the finance, tax and accounting, risk and compliance, health and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.

Wolters Kluwer ELM Solutions (Enterprise Legal Management) provides a comprehensive suite of tools that address the growing needs of corporate legal operations departments to increase operational efficiency and reduce costs. Corporate legal and insurance claims departments trust our innovative technology and end-to-end customer experience to drive world-class business outcomes.

We are currently looking for aSenior Field Sales Executiveto join our team.

Mission:

TheSenior Field Sales Executivewill be selling our award-winning solutions to Corporate legal and insurance claims departments, trusting our innovative technology and end-to-end customer experience, to drive world-class business outcomes.

Key Responsibilities:

100% responsible for pursuit of new business within vertical territory Manage sales through forecasting, account resource allocation, account strategy, and planning Develop solution proposals encompassing all aspects of the product Develop, present and sell a value proposition Negotiate product/service terms based on discretion in line with department policies and guidelines Nurture complex or high-profile territories and/or accounts Organize regular status and strategy meetings with the customers’ senior management to understand their needs and link them to the organization's product/service strategies

Profile:

Bachelor’s Degree or equivalent relevant experience Solid experience in enterprise software or integrated software or platform sales (AI/Machine Learning SaaS sales) 7+ years’ experience in Field Sales or other equivalent experience Deep understanding of business, financials, products/services and the market Recognized as an expert in one or more areas with an external reputation within industry

Travel Requirements:

Travel to and attend conferences events and customer meetings - up to 50%.

-This is a remote position.

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.