National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Product Manager - ML/Chat

Cleo
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Product Data Analyst - Fintech

Senior Product Data Analyst - Fintech

Senior Product Data Analyst

Senior Data Scientist (Product) 12 Month FTC

Senior Data Scientist – Cardiff, London, or Remote (UK) | Visa Sponsorship Available | Monzo...

Senior Product Marketing Manager

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.

The role:

You’ll be a key member of our Machine Learning and Chat pillar that is responsible for Cleo’s ability to have meaningful and delightful conversations with our users. As a Lead Product Manager, you'll work closely with a cross-functional squad of engineers, designers, data scientists, analysts, and writers on an area focused around building our understanding of user data.

Outcomes:Increase customer engagement and retention within chat

  • Drive customer engagement and retention through improved conversational experiences in Cleo’s AI finance assistant.
  • Deliver a more comprehensive financial overview, empowering users to make informed decisions and achieve long-term financial well-being.

You should apply if you:

  • Have experience building exceptional digital products for consumers
  • As a guide, you'll have 5+ years of experience in a product role involving LLMs, data science/machine learning
  • Enjoy being hands on with a cross-functional team of analysts, designers, data scientists, and engineers
  • Able to say “no” more than you say “yes” to keep the squads focused on the most impactful priorities, but also able to communicate clearly with stakeholders and get alignment
  • Work collaboratively with your product squad and involve them in strategy and decision-making
  • Bring creativity into how we approach financial products. We're radically changing how people interact with and feel about their finances. This means thinking about problems in a different way, and we encourage PMs from all backgrounds to apply.
  • Bring energy and drive to ensure your product is successful. People would describe you as a force of nature who cares about their team

How long will the process take?

We aim to move as fast as possible. Usually, 2-3 weeks is enough time for us all to get to know each other.

  • Step 1:Call with a member of our Talent Team to find out more about your experience and why you want to work at Cleo
  • Step 2:45-60 minutes interview with our Product Director for Chat
  • Step 3:Live product task interview, to be presented to one or two of the Product team
  • Step 4:45 minutes each with two cross-functional peers from Engineering, Design, Data Science, or Analytics

What do you get for all your hard work?

  • A competitive compensation package (base + equity).You can view our public progression framework and salary bandings here:https://cleo-ai.progressionapp.com/This role is level PM3 (paying between £80,500 to £102,500 + equity)
  • Work at one of the fastest-growing tech startups, backed by top VC firms like Sofina, Balderton & EQT Ventures.
  • A clear progression plan.We want you to keep growing. That means trying new things, leading others, challenging the status quo, and owning your impact. Always with our complete support.
  • Flexibility:We treat you as humans first, employees second. Because we can’t fight for the world’s financial health if we’re not healthy ourselves. This means all the usual perks but it also means flexibility. We take pride in being a flexible workplace that trusts our Cleople to deliver their best work, giving you the autonomy to structure your day around morning drop-offs to school or daily dog walks.
  • Hybrid-first:Join our hybrid-first team, where we blend the best of both remote and in-office work. We expect our team members to be in our London office 1-2 times a week. On Thursdays, we buy you lunch but you can come to the office on whichever days work best for you!
  • Other benefits:
    • 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo)
    • Check out our new benefits package here:https://web.meetcleo.com/blog/big-benefits-energy-the-latest-cleo-employee-benefits
    • 6% employer-matched pension in the UK
    • Company-wide performance reviews every 8 months e.g. every 2 terms, in line with our termly cycles (Jan-April, May-Aug, Sept-Dec):
      • Generous pay increases for high-performers and high-growth team members
      • Equity top-ups for team members getting promoted
    • Private Medical Insurance via Vitality, dental cover, and life assurance
    • Enhanced parental leave
    • 1 month paid sabbatical after 4 years at Cleo
    • Regular socials and activities, online and in-person
    • We'll pay for your OpenAI subscription
    • Online mental health support via Spill
    • And many more!

UK App access: The Cleo app is no longer downloadable in the UK. 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.

#J-18808-Ljbffr

National AI Awards 2025

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 to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.