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

Deep Learning Solutions Architect – Inference Optimization

Deep Learning Solutions Architect – Inference Optimization

Deep Learning Solutions Architect – Inference Optimization

Principal Data Science Consultant - Gen AI Specialist

Principal Data Science Consultant - Gen AI Specialist

Principal Data Science Consultant – Gen AI Specialist

#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.

Jobs

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML 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.