Payments Product Manager - 1 Year FTC (Maternity Cover)

Ravelin
1 month ago
Applications closed

Related Jobs

View all jobs

Product Data Scientist London

Data Scientist

Applied Scientist (Machine Learning)

Lead Data Scientist - Sanctions Screening

Principal Machine Learning Engineer - Chat

Software Engineer II - Machine Learning

Who are we?

Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers.

And we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and adhering to our values of empathy, ambition, unity and integrity. We really value work/life balance and we embrace a flat hierarchy structure company-wide. There are nine of us in the product team, covering product management and product design. Join us and you’ll learn fast about cutting-edge tech and work with some of the brightest and nicest people around - check out our Glassdoor reviews.

If this sounds like your cup of tea, we would love to hear from you! For more information check out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses.

The Role

The product team are looking for an Interim Product Manager to join us in the fight against fraud. This will be a one year full time contract initially, for maternity cover. The role is available as a remote-first role or hybrid role combining remote work with some days in our London office.

We’re looking for a curious, flexible, self-motivated and collaborative person who loves analysing opportunities and solving problems. For this role, previous experience within the fraud or payments industry is important. Domain knowledge of 3DS2 and PSD2 are a must for this position. This includes a detailed understanding of the data points and technical flows of 3DS authentication.

You'll accelerate our product development focusing on our 3D Secure and Transaction Optimisation products. You'll scale, improve and combine existing products to meet the needs of clients small and large. You'll drive adoption and customer satisfaction. You'll continually seek out new insights. You'll collaborate across teams to translate strategy and market feedback into product development, from initial conception to release and iteration. You’ll keep relevant regulation, certification and compliance requirements in mind throughout.

Responsibilities

  • Continuous improvement of existing products, delivering at pace
  • End-to-end discovery, definition and delivery of new products
  • Own the prioritisation and roadmap for your products and communicate the rationale behind your decisions
  • Subject Matter Expert for 3DS and PSD2 / PSD3 / PSR - keeping up to date with regulations and standards, advising and supporting colleagues
  • Conduct research and gather data to inform tactical and strategic decisions
  • Work with engineers, designers, data scientists, sales and marketing to build great products
  • Set goals and KPIs for your products, ensuring that performance is carefully measured and monitored

Requirements

  • 5+ years product management experience, including delivery of products from start to finish with a strong grip of the technical dimensions
  • Hands-on experience in the payments industry, software development and web technologies
  • Domain knowledge on payments and authentication e.g. 3DS2 and PSD2
  • Excellent written and verbal communication skills
  • Strong attention to detail and problem solving skills
  • Skilled at working effectively with cross functional teams and fostering team spirit
  • Initiative and curiosity about how things work
  • The commitment and drive to find a way when the going gets tough
  • The desire to thrive in a fast-paced, scale-up environment
  • Ability to adapt to changing procedures, policies, and work environment

Benefits

  • Flexible Working Hours & Remote-First Environment — Work when and where you’re most productive, with flexibility and support.
  • Comprehensive BUPA Health Insurance — Stay covered with top-tier medical care for your peace of mind.
  • £1,000 Annual Wellness Budget — Prioritise your health and well-being with funds for fitness, mental health, and more.
  • Monthly Wellbeing Day — Take every last Friday of the month off to recharge, on us.
  • 25 Days Holiday + Bank Holidays + 1 Extra Cultural Day — Enjoy generous time off to rest, travel, or celebrate what matters to you.
  • Mental Health Support via Spill — Access professional mental health services when you need them.
  • Paid Travel to the office — For remote team members, we cover quarterly or Bi annually travel costs to visit the office (Location dependent).
  • Aviva Pension Scheme — Plan for the future with our pension program.
  • Ravelin Gives Back — Join monthly charitable donations and volunteer opportunities to make a positive impact.
  • Fortnightly Randomised Team Lunches — Connect with teammates from across the company over in person or remote lunches every other week on us!
  • Cycle-to-Work Scheme — Save on commuting costs while staying active.
  • BorrowMyDoggy Access — Love dogs? Spend time with a furry friend through this unique perk.
  • Weekly Board Game Nights & Social Budget — Unwind with weekly board games or plan your own socials, supported by a company budget.

Job offers may be withdrawn if candidates do not meet our pre-employment checks: unspent criminal convictions, employment verification, and right to work.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.