Paid Media Manager Hybrid

Forward Role
Newcastle upon Tyne
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Measurement Specialist

Data Scientist - Measurement Specialist

Computer Vision and Artificial Intelligence Engineer

Data Engineer

Data Engineer

Computer Vision and Artificial Intelligence Engineer

Paid Media Manager

Salary up to £42k + bonus

Manchester – 2 days in office

Forward Role are excited to be exclusively partnering with a tech-lead, international consumer business as they undergo a highly exciting time of growth and digital transformation. Their Head of Paid Media, who this role reports into, has created this brand-new Paid Media Manager role which the business has never seen before, making this an incredibly exciting opportunity for a Senior PPC expert to come in and really make their stamp!

This position is to manage the Paid channel, not people – yet! This team is set to grow in line with wider business growth in time to come, so don't worry if you've not got management experience. If you're a Senior Exec wanting a step up, or an existing Manager wanting oversight and autonomy of your own accounts – this may be the role for you!

Your day to day:

  • Develop and execute a comprehensive PPC strategy, managing a significant budget.
  • Work closely with the paid media team to ensure alignment across accounts.
  • Monitor and optimise performance in line with forecast expectations.
  • Manage relationships with key partners, including Google, Microsoft, and Brainlabs.
  • Collaborate with cross-functional teams across design, data science, and marketing to drive continuous improvements.
  • Identify and explore new opportunities to enhance PPC performance.
  • Lead YouTube activity, ensuring a creative-first approach tailored for the platform.
  • Develop and implement a rigorous A/B testing plan to optimise key performance indicators.
  • Work closely with analytics and measurement teams to assess PPC's impact and enhance their overall strategy.

Your background:

  • Experience managing large-scale PPC budgets – either in house or agency side
  • Strong analytical skills with the ability to analyse data, identify trends, and make data-driven decisions.
  • Excellent communication skills, with the ability to collaborate across multiple teams.
  • Strong knowledge of GA4, with the ability to review performance and derive insights.
  • Experience with SA360 is beneficial but not essential.

Work with a market-leading international consumer business in an exciting period of growth, being part of a high-performing marketing team that genuinely values innovation and creativity! This role will offer you hands on execution as well as strategic influence, leading large-scale campaigns with industry leading partners… what are you waiting for? Apply now!

As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full list of current permanent and interim opportunities as well as marketplace news and fun stuff.
Forward Role is operating as an employment agency.


JBRP1_UKTJ

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.