Marketing Manager

Intelligent People
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Manager (Metaheuristics)

Data Science Manager (Metaheuristics)

Data Science Manager (Metaheuristics)

Data Science Manager (Metaheuristics)

Recruitment Team Manager – Artificial Intelligence (UK Market Focus) Manchester (Hybrid)

Recruitment Team Manager – Artificial Intelligence (US Market Focus) Manchester (Hybrid)

Marketing Manager (Paid Search) | FinTech | £65-80k + Equity | Central London (Hybrid)


Marketing Manager (Paid Search) required to bring their expertise into a rapidly growing scale-up FinTech company.


They have already tackled international expansion and with over 100,000 B2B business partners they are looking for someone to help significantly scale the adoption of the brand.


The Marketing Manager (Paid Search) will take full ownership of the Google Ad spend, which is valued at around £5m PA!


Location:Central London (Hybrid)

Salary Package:£65-80k + Equity + Benefits


This is an incredible opportunity to have full ownership of a core platform for one of the UK’s most promising scale-up FinTech companies and make a significant impact to the growth of the organisation over the medium term.


The Marketing Manager (Paid Search) will:


  • Own the Google Ad budget and spend (strategy, execution, reporting, optimisation).
  • Work closely with the data science, product manager and engineering teams.
  • Think strategically and ensure a robust testing ideology is implemented.
  • Conduct customer, wider market and competitor research and analysis.
  • Own the reporting and forecasting of campaigns, across all KPIs.


The Marketing Manager (Paid Search) must have:


  • Experience of Google Ads.
  • Be a data driven marketeer.
  • A strong bias for action.
  • Demonstrated ability to wear multiple hats – hands on execution, optimisation, tactical planning, managing relationships with platforms etc.
  • Excellent analytical skills and advanced knowledge of Google Analytics.

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.

Jobs

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

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

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

🍪 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.