Growth Marketer

Sling Money
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Head of Data Science and AI

Forward-Deployed Data Scientist

Senior Forward-Deployed Data Scientist

Data Scientist, Ad Tech & Growth Analytics

Head of Data Science & ML Engineering

About Us

Sling Money allows anyone in 75+ countries to send money to each other instantly, with just a couple taps. You don't need to know anything about the recipient's bank account, and you don't have to worry about foreign exchange. We believe all of this should be possible at low or no cost -- and at the moment Sling Money is completely free. We're working to build the world's first billion user financial and we'd love your help.


About the Role

We're looking for a dynamic and deeply quantitative Growth Marketer to take ownership of Sling Money's user growth, engagement and retention. This person will help us accelerate organic word-of-mouth growth, build viral loops, and help us build on a limited amount of paid marketing to help us reach the next stage of growth.

This role has high ownership and responsibility. You'll work across multiple teams -- engineering, product, design, finance, compliance and marketing -- to drive growth, maximize retention and optimize our entire growth funnel and growth loops. You'll be empowered to bring creative ideas, experiment, and execute quickly. You will also be expected to be extremely numerate and quantitative and to evaluate the success of your work dispassionately through a comprehensive testing and experimentation framework.


Key Responsibilities

  • Drive Growth - Build and implement growth strategies across all relevant channels in the most efficient ways available. Use whatever tools are available across paid marketing, CRM and engagement marketing, pricing, contact import and invite flows, loyalty programs and any other levers you might imagine to drive sustainable, retained growth.
  • Understand Deeply - Lead work to deeply understand our users from both qualitative and quantitive standpoints to support the development of growth hypotheses, their prioritization and to evaluate the success of our work and support constant learning. Ensure that we are properly measuring user growth, virality, retention, cohort behavior and other key metrics.
  • Experiment Constantly - Ensure that all of our work is thoroughly tested and evaluated, and that whenever possible our growth efforts are run as experiments.
  • Cross-Channel Marketing - Work with the marketing team to integrate marketing and growth efforts across all available channels to build cohesive campaigns.
  • Collaborate broadly and effectively - Work closely and with credibility with engineers, designers, marketers, the compliance team and other colleagues to ensure that we deliver effectively as one team.
  • Be a Self-Starter - You have to be intrinsically self-motivated because we'll expect you to have high ownership and drive us forward at all times.


What We’re Looking For

  • Experience - You have a proven track record in Growth at a fast-paced start-up or technology company. The ideal candidates will a product analytics or data science background and have experience running paid marketing campaigns and doing in-product growth work.
  • At least Somewhat Technical - You will need to write SQL and be able to operate in Metabase and tools like Statsig. Our data is in BigQuery, Metabase and Statsig. You don't need to have specific experience with these tools, but you need a good data foundation and the ability to learn them quickly.
  • Creative - We're looking for someone who will bring fresh ideas to the table and have a deep, natural curiosity. You should be excited about experimenting and failing fast so that we can learn quickly and iterate.
  • Ambitious - You should be deeply ambitious. We're trying to build a global financial app. No one has done this before. This idea has to excite you at your core.
  • Growth Mindset - No one gets everything right. You should be focused on learning and improving every single day.
  • Collaborative - We've said this already, but we really mean it. We're a small team and a flat organization and everyone has to work together effectively. We're a regulated financial product and so you'll have to work with compliance in addition to the usual suspects in engineering, design, marketing, etc. You have to be excited by this. We promise they're very product-oriented and ambitious!


Nice to have

  • Experience with either a consumer social app or a fintech app.
  • Experience at a Series A startup.
  • Willingness and ability to work out of our London office twice a week.


We strongly encourage you to apply even if you don’t meet 100% of the requirements. If you’re passionate about what we’re building, hungry to learn, and eager to make a big impact, we’d love to hear from you.


Compensation, Perks & Benefits

  • Competitive salary and equity package.
  • Opportunity to be a core part of a fast-growing fintech startup.
  • Collaborative and innovative work environment with autonomy.
  • Free lunch in the office and flexible working arrangements.
  • Professional growth opportunities, team offsites, and events.

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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.

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.