Senior Product Engineer - React Native/React

Cleo
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Product Data Scientist

Principal Data Engineer

Senior Data Engineer

Senior Data Scientist

Senior Data Scientist

Data Engineer

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

About Cleo

Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being.

Backed by some of the most well-known investors in tech, we’ve reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of theirNext Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas.

Follow us on LinkedInto keep up to date with new product features and insights from the team.

The Role

We’re looking for a brilliant Frontend React Native Engineer with an eye for UI/UX design to join us on our mission to fight for the world's financial health. You’ll be joining a team of adaptable, creative and product-focused engineers who ship working software. We understand our customers, we understand their pain, and we are passionate about helping them.

What You’ll Be Doing

  • Joining a cross-functional product squad with a mix of frontend engineers, designers, UX writers, backend engineers, data analysts and others to develop features that improve our users’ financial health.
  • Collaborating with other leaders in your squad and pillar to provide technical insight into upcoming feature work, and leading the delivery of work by helping pull everyone together to get it shipped.
  • Mentoring your colleagues to help them become the best engineers they can be.
  • Working on our React Native application, building out amazing experiences for our users which bring financial health to life in the unique Cleo tone of voice.
  • Writing automated tests alongside your code to give us the confidence to ship it.
  • Using AB-Tests, feature flags and other tools that let us iterate quickly.
  • Using data to dig into user journeys, detecting problems and helping to optimise the Cleo experience.
  • Being part of the rota for our weekly app releases to the Apple and Google app stores.
  • Getting involved in cross-cutting concerns that lift our entire engineering effort with the rest of the frontend chapter.
  • Taking part in shaping all the work your squad does, not just the technical parts. Delivery is a team sport, and we encourage everyone at Cleo to share their ideas.

About You

Firstly, and most importantly, all of the above sounds exciting to you and you want to make a positive difference in society by improving the financial health of our users worldwide.

You’ve also read ourcompany valuesandengineering principleswhich drive our ways of working and help us deliver working software to our users, learn what works and iterate quickly to improve it. You share and embrace these opinions and are passionate about using them to deliver value.

  • As this is an SE4 position we’re looking for someone who has strong industry experience of using React Native / React with TypeScript for a minimum of 4 years.
  • As your work will primarily involve working on features for our mobile apps, we’d either like to see some proven experience in this area or a genuine passion for moving into the mobile app space.

Why Should I Apply?

  • There’s a clear engineering career growth framework. Whether you want to develop your career as a sole contributor or head down the engineering management track, you can grow with us!
  • You’ll be joining an open and collaborative team where you’ll be heard and get to make a difference.
  • You’ll be joining a team of respected frontend engineers.
  • Work where you work best … We’re a globally distributed team.
  • Work when you work best … we have flexible hours to enable you to work at your best.

What Do You Get for All Your Hard Work?

  • A competitive compensation package (base + equity).
  • Work at one of the fastest-growing tech startups, backed by top VC firms, Sofina, Balderton & EQT Ventures.
  • A clear progression plan.
  • Flexibility: We work with everyone to make sure they have the balance they need to do their best work.
  • Hybrid-first:Join our hybrid-first team, where we blend the best of both remote and in-office work.

UK App access:The Cleo app is no longer downloadable in the UK. If you’re an existing user, you’ll still have access to the app. But some features won’t be available. Why? 99% of our users are based in the US – where financial health is often overlooked. We’ve decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most.

#J-18808-Ljbffr

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.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.