Paid Search Lead

London

9 months ago

Applications closed

Related Jobs

View all jobs

Mobile App Marketing Data Analyst

Data Engineer: Build Scalable Pipelines & AI Dashboards

Data Scientist (Semantic Search/Recommender Systems)

Recruitment Consultant - Pharmaceutical/Biotech Data Science

Junior Data Analyst Norwich

Junior Data Analyst

Job Title: Digital Marketing Lead - Paid Search

Location: London HQ (hybrid)

About the Role

We are looking for a dynamic and results-driven Paid Search Lead to drive the growth of our Paid Search program globally. The role is pivotal in meeting our revenue and efficiency targets, with accountability for performance against Paid Search targets globally.

What You'll Be Doing

Strategy: Working with the Head of Performance Marketing and team of channel specialists to develop and execute a comprehensive global Paid Search strategy to drive growth and achieve ambitious revenue and efficiency targets.
Performance management: Be hands on in our accounts, optimising a complex, high-spending global Paid Search program across all major search engines.
Industry trends: Stay up to date with the latest trends and innovations in Paid Search and digital marketing, including AI-driven advertising and automation, to ensure our strategies remain cutting-edge. Work closely with platform partners to stay on top of emerging products and ensure we have a plan to test them at pace.
Testing and optimisation: Implement A/B testing and continuous optimisation of campaigns to enhance performance and drive growth.
Data analysis: Utilise enterprise analytics tools such as Looker to analyse campaign performance.
Reporting and insights: Generate detailed reports, dashboards and actionable insights for the team and for our stakeholders, demonstrating the impact of paid search on overall business objectives. Conduct analysis on competitor activity and make clear recommendations to improve our position in the market.
Collaboration: Work closely with Product, Data Science, and Engineering teams to develop technical solutions and enhance campaign performance.
Budget setting: Assist in setting and managing a large annual budget that covers all our global markets.
Stakeholder management: Communicate effectively with stakeholders, demonstrating a strong bias for action and ability to simplify complexity to get buy-in for our projects.

What We’re Looking For
Technical expertise: 5+ years hands-on and deep experience with Google Ads and Microsoft Ads. Experience working with ad platform APIs and scripts to drive automation.
Analytical skills: Highly analytical and data-driven, comfortable working independently with data. Experience with SQL is a bonus.
Experience: Proven track record in managing complex and high-spending global accounts, ideally within e-commerce or marketplace businesses.
Cultural fit: Strong communicator with a growth mindset, passionate about Deliveroo's mission and growth ambitions. Ability to rally a team around a goal and pivot quickly when presented with new information.
- Bias for action: Demonstrates a proactive approach to driving results and solving problems.
- Test and learn mindset: Embraces experimentation and iterative improvement.
- Growth mindset: Continuously seeks opportunities for learning and development.
  
  Why Deliveroo
  
  Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We give people the opportunity to eat what they want, as they want it, when and where they want it.
  
  We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.
  
  Workplace & Benefits
  
  At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.
  
  Diversity
  
  At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
  
  We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

Jan 18, 2026

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.