Caselton Clark | Senior Marketing Manager

CASELTON CLARK
London
1 month ago
Applications closed

Related Jobs

View all jobs

Role: Senior Marketing Manager


Ensure you read the information regarding this opportunity thoroughly before making an application.

Location: London, remote working

Salary: £55,000-£60,000 plus 10% bonus

Company

Our client is a global and forward-thinking organisation specialising in creating exceptional B2B experiences through impactful events and media. Known for delivering high-calibre experiences that connect businesses, spark innovation, and accelerate industry growth, they have achieved remarkable expansion over the past year.

Role

As Senior Marketing Manager, you will lead the marketing strategy for a major event, focusing on driving revenue through data-driven tactics across paid social, website, email campaigns, and partnerships. Collaboration with internal and external stakeholders will be key to ensuring the event's success.

Responsibilities:

  • Develop and execute marketing strategy for the event, ensuring alignment with business goals.
  • Lead the planning and execution of digital marketing campaigns, with a focus on paid social, website, email marketing, and strategic partnerships
  • Utilise data analytics to inform and optimise marketing strategies, focusing on KPIs such as lead generation, attendee acquisition, and revenue growth
  • Collaborate closely with the sales and commercial teams to ensure alignment on marketing and business objectives, as well as managing external partnerships
  • Manage and create all digital marketing campaigns, ensuring content is tailored to resonate with the target audience
  • Manage and allocate the marketing budget and report on marketing spend

Requirements

  • 5+ years of experience in a marketing role within the events industry, with a proven track record of executing data-driven marketing strategies
  • Expertise in digital marketing channels including paid social, email marketing, website optimisation, and partnership marketing
  • Proficient in data analytics, with the ability to track and report on marketing KPIs and make data-backed decisions
  • Strong experience with marketing automation, CRM tools, and digital analytics platforms (e.g., Google Analytics, Salesforce, HubSpot)

Benefits

  • Private Medical Insurance
  • Unlimited Holidays/PTO
  • Life Assurance Scheme (x4 Salary)
  • 6 Months Enhanced Maternity Pay

Any many more!

Please send your CV to to be considered for this position.

Caselton Clark are a specialist recruitment agency for media, events, exhibitions and conferences

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.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.