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

Nominate & Attend

Senior Product Implementation Manager - Treasury

Wise
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Scientist

Senior Data Scientist

Senior Data Engineer

Senior Data Scientist

Your Mission At Wise:

We are fully devoted to our Mission: Money without borders. Instant, convenient, and eventually free. Over 16 million people and businesses use Wise, which processes over £9 billion in cross-border transactions every month, saving customers over £1.5 billion a year.

We serve a wide range of customers from personal users, freelancers, small businesses and increasingly even to large enterprises and banks. Wise also offers over 50 currencies for customers to hold and convert money in. As an Associate Product Manager joining the Product Academy, you will be placed in one of our teams that both power Wise and ensure our customers have a safe and convenient experience when using us.

You will get to build your skills in Product Management through a tailored learning program in combination with executing on real problems. After your successful graduation from the Product Academy, you will transition into a full-time member of the Wise Product team!

Job Description

We’re looking for a Senior Implementation Manager to join our fast growing Finance & Treasury Product team in London or in Tallinn. This role is a unique opportunity to have an impact on Wise’s mission by ensuring we build smart and scalable internal financial systems and empower millions more people with instant access to their money.

Your Mission

Wise’s Treasury team is instrumental in managing liquidity and hedging currency exposures to enable Wise to meet speed promises and minimising costs.

Wise is rapidly expanding globally, creating new products to consumers and businesses, entering new jurisdictions and also offering new products. This is a unique opportunity to lead complex projects integrating new Wise products and markets into Wise’s Treasury systems.

You will ensure that we implement and update the systems to enable the treasury team to fulfil its obligations as Wise continues to scale into new markets and products.

How you’ll contribute to our Mission

  • Planning and scoping

    • You will be a key point of contact for product teams and Treasury stakeholders on integrating new products, features and regional expansions to ensure Wise has accurate view of currency exposures.

    • You will review the product changes and analyse the impact on Treasury processes such as Liquidity management, FX management etc.

    • You will review the existing implementations for any risks and gaps.

    • You will proactively engage with relevant product teams to understand their needs, and navigate prioritisation problems ensure Treasury impacts are minimised.

    • You will develop an implementation roadmap and lead quarterly planning of Treasury implementation work, as part of the wider Treasury Ledger team quarterly planning.

  • Execution and implementation

    • You will figure out a plan and work with a team of product managers, engineers, data analysts and operations specialists to integrate all new Wise products, regions and entities into our safeguarding system.

    • You will own large and complex integrations and support the team with clear documentation including requirements, detailed project plans, resource allocation, testing, delivery etc.

    • You will support operations teams through new implementations, including training regional operations teams on safeguarding processes as part of regional expansions.

  • Support

    • You will ensure documentation of product flows.

    • You will get hands-on when things go wrong - supporting product and engineering teams during incidents to understand the impact, drive resolution and improve controls to prevent similar incidents recurring.

This role will give you the opportunity to:

  • Get amazing exposure - you will be omniscient. You will know almost everything about every product flow and geography that Wise is launching, while working with a group of amazing and dedicated implementation managers, product managers, engineers, analysts, and operations. You will learn everything you ever wanted to know about payments, banks, regulations and assets not just for one geography - but for the entire world.

  • Choose your path to impact – we believe people are most empowered when they can act autonomously. So rather than telling you what to do, you’ll work with your team to create a vision of your own. Of course, you can always gather feedback from smart, curious people across Wise but you’ll have the freedom to make your own calls.

  • Work in a world-class international Finance & Treasury Team, learn a lot about fintech, finance and treasury, while also building a high-volume, real time treasury system.

  • Work with a modern microservices system with key parts written in-house, which allows to move fast and build controls and experiences that are above industry standards and push the boundaries of what is possible.

  • Be part of our mission to make money without borders the new normal.

A bit about you:

  • You create clarity. You have great communication skills that help you bring people together behind a common goal, manage multiple points of view and create clarity and organisation into complex problems and diverse teams. You should be able to explain complex concepts in simple terms while ensuring there is no nuance lost to stakeholders who may not be familiar with treasury terminology.

  • You’re hands on when it comes to product implementation and delivering features and building roadmaps. You’d do everything needed to make the team and the product successful. You get it done.

  • You have experience of managing end-to-end product integration lifecycles from scoping to delivery and post production support for ambitious, impactful customer / non-customer facing products in data-driven environments.

  • Data-driven – You can pick up the signal from the noise. You are comfortable to dig deep into data, explore and make decisions based on insights.

  • You’re familiar with SQL and can communicate big data / complex data sets clearly.

  • You’ve applied agile software development methodologies and tools before.

  • You enjoy getting deep into the processing logic. You like to be thorough and understand in-depth how things work and all their dependencies. You don’t mind working in the non-customer facing team and bringing clarity to the team over complicated processes, while independently making sense of complex topics and breaking them down into smaller, more manageable pieces.

Beneficial, but not mandatory experience:

  • Treasury background and knowledge about currency exposure management.

  • Experience working with business analytics tools (e.g. Looker, Superset).

  • Passion for technical products and understanding of tech stacks used in software engineering.

Our Offer:

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.

If you want to find out more about what it's like to work at Wise visitWise.Jobs.

Keep up to date with life at Wise by following us onLinkedInandInstagram.

#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 Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning 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 type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning 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 developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning 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 ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.