Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Marketing Manager

Intelligent People
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Editor

Data Science Editor

Data Science Manager, Growth & Marketing

Data Science Manager

Curriculum Manager - Data Science and Data Engineering

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.