Digital Marketing Executive

Michael Page
Brighton, East Sussex, United Kingdom
2 weeks ago
Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
22 May 2026 (2 weeks ago)

Benefits

25 days holiday Pension Private healthcare after 1 year's service Company events

This role is responsible for maximising the sale of industrial and engineering assets by designing and executing targeted, data-driven marketing campaigns. Operating across Europe, the USA and Asia, it leverages email, paid search, social media and emerging AI-driven channels to drive qualified buyer traffic and deliver measurable results.

Client Details

My client is a growing Brighton-based business with ambitious plans, seeking a Digital Marketing Executive who is passionate about AI and staying at the forefront of emerging tools and technologies.

Description

As the Digital Marketing Executive you will have the following responsibilities:

AI-driven audience segmentation (industry, geography, behaviour, asset type) for targeted outreach

Plan, manage and optimise Google Ads (PPC) campaigns using automation tools

Manage and grow social media presence across LinkedIn, Facebook, Instagram and emerging channels

Lead SEO, GEO and AIO strategy, using AI tools to drive organic performance and conversions

Leverage AI tools (e.g. ChatGPT, Copilot, Jasper) for content, targeting and performance analysis

Produce data-driven marketing reports and visual storyboards using AI-powered analytics tools

Identify and test new digital channels and data sources to expand audience reach

Collaborate with international teams to ensure consistent, coordinated marketing activity

Conduct competitor analysis and track market trends

Use SIC/NAICS codes for prospect research and data segmentation.

Profile

A successful Digital Marketing Executive should have:

2-3+years' minimum experience in digital sales & marketing

Proven ability to grow and manage direct marketing databases (organic + acquisition)

Strong email marketing experience at scale (e.g. Mailchimp, HubSpot, Klaviyo)

Hands-on use of AI tools in marketing with clear, demonstrable use cases

Google Ads/PPC expertise (planning, execution, optimisation)

Social media marketing across LinkedIn, Facebook, and Instagram

CRM management and segmentation of large contact databases

Solid SEO experience (keyword research, on-page, link-building) with GDPR, data governance, and ethical AI awareness

Working knowledge of HTML/CSS beneficial but not essential

Passion for AI and emerging technologies, with a proactive approach to staying current on new tools, trends, and best practices.

Job Offer

A competitive salary

25 days holiday, pension, private healthcare after 1 years' service and company events.

Brighton based, you will be in the office for the first month - following that hybrid working will be offered - 2 days from home

Related Jobs

View all jobs

Digital Insights & Merchandising Manager

Topps Tiles Leicester, LE1 5YA, United Kingdom
On-site

Subscription Analysis & Development Executive

William Reed Rh119Rt, RH11 9RT, United Kingdom
Hybrid

Media Agency Executive

dunnhumby London, United Kingdom
Hybrid

Marketing Data Analyst

Armstrong Lloyd - Marketing Recruitment Rg217Pp, RG21 7PP, United Kingdom
£50,000 – £60,000 pa Hybrid

Head of AI Product

167 Solutions London, United Kingdom
£130,000 – £170,000 pa Hybrid

Customer Insight Analyst

Harnham - Data and Analytics Recruitment Lancashire, United Kingdom
£50,000 – £55,000 pa Hybrid

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.