Senior Product Manager, Payments (Basé à London)

Jobleads
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Commercial Analytics London

Senior Data Scientist - Commercial Analytics

Senior Product Manager - AI, ML & Data Science

Senior Machine Learning Product Manager (Deploy)

Product Manager

Senior Data Developer

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Product Management at Deliveroo takes many forms, and involves many facets. We're a consumer-facing brand, with websites and mobile apps which help customers find great quality food which can be brought to them to satisfy their needs any time day or night. We're a logistics company, directing a fleet of drivers around major cities across the globe using a dedicated native app. We're a partner to restaurants, who see us as a way to unlock access to new customers and thus maximise the revenue of their existing business. And we're a home for numerous internal teams building internally facing tools for customer care, finance, and others, to keep the operation running effectively.

Life as a product manager can mean working in any or all of these areas, in order to deliver value to customers, drivers, and restaurants. Day to day, you'll tackle new, interesting business problems, and find innovative, creative ways to solve them. We're seeking brilliant and motivated Product Managers to help us keep moving things forward.

Mission

Financial Systems sits at the heart of Deliveroo and handles all aspects of the money movement ecosystem, from consumer payments, through money movement, to accounting, to payments out to riders and restaurants. We are a cross-discipline group of software engineers, data scientists, machine learning engineers, designers and product managers, working in close partnership with Finance, our country teams and others to build this critical strategic motor for our marketplace.

We are seeking a senior product manager to join this domain and play an integral role in achieving our company's growth plans.

What you'll be doing

  1. Setting product strategy for key aspects of the Payments roadmap and translating this into technical roadmaps.
  2. Have accountability for executing on your roadmap to deliver measured value to the business; confidently and independently orchestrating a cross-functional team of engineers, data scientists, machine learning engineers & designers.
  3. Be a thought-leader for Payments across Deliveroo.
  4. Independently manage internal stakeholder communication across all levels of the business to drive a consensus on approach across the business.

Here are some of the areas that you could be responsible for:

  1. Consumer Payments Experience
  2. Payment methods
  3. The tech that powers our integrations with Payment Service Providers and how we route payments
  4. Payouts to riders, restaurants and grocers
  5. Establishing ways to more efficiently pay vendors and receive payments from partners

Requirements

  1. Have extensive, proven success as a user-focused Product Manager.
  2. Highly analytical and can collaborate effectively with Data Scientists to define new measurement frameworks, make data-led decisions and navigate multi-sided trade-offs.
  3. Highly detail-oriented and thrive in an environment where impact and velocity of execution are paramount.
  4. Have a track record for defining the strategy to tackle ambiguous problem spaces and for building teams from the ground-up to execute on your plans.
  5. Excellent communication, storytelling and relationship management skills.
  6. Demonstrated ability to own projects, be data-driven and influence across all levels of an organisation.
  7. Have experience working in a global, consumer business with geographically distributed teams.
  8. Knowledge of and experience with developing and launching payment products (cards and non-cards). Understanding of payment methods across different geographic markets.

Why Deliveroo?

Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We give people the opportunity to eat what they want, when and where they want it.

We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, seeking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.

Workplace & Diversity

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer a wide range of competitive benefits in areas including health, family, finance, community, convenience, growth and relocation.

We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing startups in an incredibly exciting space.

#J-18808-Ljbffr

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 Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

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

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.