Paid Media Manager Hybrid

Forward Role
London
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Manager Marketing Data & Insights Strategy

Senior Product Manager - Search Solutions (Basé à London)

Paid Social Business Director

Analytics Engagement Manager - Sports Management

Marketing Analyst

Data Product Manager

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

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.

Jobs

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Careers Jobs

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Jobs

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.

🍪 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.