Key Account Manager - Sponsorship

Balham
4 days ago
Create job alert

Key Account Manager - Sponsorship

£45,000 - £55,000 + £45,000 - £50,000 Commission (Uncapped Commission) +

Excellent Benefits

Hybrid

London

Industry leading events and publishing media business is looking to hire a highly talented and experienced driven Key Account Manager to join their highly successful sponsorship sales team working across their leading trade finance conferences.

The Key Account Manager will act as the first point of call for the clients they manage. You will be selling high value, bespoke sponsorship packages across the entire events portfolio.

This role demands a highly articulate, results driven individual who excels in building relationships and has real hunger to close high value yielding sales.

This person will manage a number of high value accounts, therefore a strong track record in consultative sales across events or a similar b2b sales role is a must. It is imperative you can display strong account management experience within a sponsorship sales role.

There is regular international travel in this role to both Europe and Asia, approximately once a month.

Key Account Manager – Sponsorship

Profile of Candidate:

  • 3 years + in b2b sponsorship sales

  • Ideally experience within financial events

  • Strong account management capabilities

  • Degree educated ideally

  • Excellent communication skills

  • Successful track record achieving revenue targets

  • Someone with a consultative sales approach is a necessity here

    Lipton Media is a specialist media recruitment agency based in London. We specialise in all forms of b2b media sales including conferences, exhibitions, awards, summits, publishing, digital, outdoor, TV, radio and business intelligence.

    Our clients range from small start-up companies to FTSE 100 and 250 businesses. We work with people at every stage of their career from undergraduates looking for their first entry point into sales to senior managers and directors looking for their next challenge

Related Jobs

View all jobs

Account Manager - Events

Account Manager

National Account Executive

Business Development Executive

Sponsorship Sales Manager

Client Success Manager

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Shadowing and Mentorship in Data Science: Gaining Experience Before Your First Full-Time Role

How to Find Mentors, Build Industry Connections, and Hone the Skills Needed in a Fast-Evolving Field Introduction Over the past decade, data science has grown from a niche academic discipline to a pivotal function driving decision-making in businesses of all sizes. With an array of applications—from predictive analytics and natural language processing to recommender systems and computer vision—data science offers an enticing career path for analytically minded professionals. However, as the field expands, so too does the level of competition. Employers seek not just theoretical knowledge but also real-world experience and robust problem-solving skills. That’s where shadowing and mentorship become game-changers for early-career data scientists. These hands-on learning opportunities provide an unmatched window into the workflows, tools, and soft skills you’ll need to excel in a professional environment. Whether you’re still completing your studies, fresh out of a bootcamp, or transitioning from another career, working closely with experienced data scientists can significantly shorten your learning curve and help you stand out when applying for your first full-time position. This article explores how to find mentors who align with your goals, the best ways to engage in shadowing opportunities, and practical tips for showcasing your growth as a mentee. From clarifying the nature of data science roles to leveraging online networks, you’ll discover how to position yourself as a candidate poised to solve complex challenges and drive data-driven innovation.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.