At a Glance
- Tasks: Lead complex product initiatives in financial systems and drive cross-functional alignment.
- Company: Join a growth-stage fintech revolutionising embedded finance with a collaborative culture.
- Benefits: Enjoy a hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Be part of an innovative team transforming financial infrastructure while enjoying flexible working arrangements.
- Why this job: Shape the future of finance by tackling challenging problems with cutting-edge AI technology.
- Qualifications: Experience in platform management, strong data skills, and a background in fintech or payments.
The predicted salary is between 70000 - 90000 £ per year.
About our Product Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Atlanta, Stockholm, Munich and Mumbai, and we're at a point where the platform challenges are genuinely interesting: we're not just adding features, we're building financial infrastructure that didn't exist a year ago. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do. Product owns outcomes here, not just delivery. You will have real autonomy, a direct partnership with engineering leadership, and the space to make big calls on hard problems. If you've spent time in large organisations waiting for permission, this is different.
The role: We are looking for a Senior Product Manager to own our Financial Systems domain. This is a role for someone who thinks in systems, not features. You will own the foundational layers that the rest of Liberis builds on top of: the payment rails, ledger, merchant revenue intelligence, and identity systems that make our products work. The problems here are genuinely hard. How do you replace a third-party classification engine with an in-house AI model without disrupting live underwriting? How do you build a new repayment capability that opens up partners who sit outside the payment flow? How do you manage payment infrastructure across multiple providers and geographies while migrating the platform underneath? If these are the kinds of challenges that get you out of bed, keep reading.
You will partner directly with a Head of Engineering and work across several small, focused engineering teams. We're in the middle of an AI-first engineering transformation: teams of 2-4 engineers work on a problem but execute like a full team, with AI embedded in how they build, test, and ship. There are around 20 engineers across the domain, and the way they work is changing fast. You'll be part of shaping that.
What you'll get to do:
- Own the product vision, roadmap and delivery across Financial Systems (Funding, Ledger, Merchant Revenue) and Merchant Identity.
- Lead complex platform initiatives end-to-end: vendor-to-AI transitions, new payment rail buildouts, cross-provider infrastructure management, and data model evolution.
- Several of these involve replacing legacy vendor systems with in-house AI models. These aren't feature requests. They're engineering-heavy, cross-team programmes with real commercial stakes.
- Sit with engineers daily. Understand the data flows and the API contracts. Be the PM who engineers want in the room because you make technical decisions better, not slower.
- Drive cross-functional alignment on initiatives that require buy-in from Risk, Finance, Commercial, and Engineering leadership.
- Build business cases, present pilot data, and make the commercial argument for platform investment.
- Manage vendor relationships and make build-vs-buy decisions with real contract deadlines and cost implications.
- Build technical roadmaps that balance architectural health with commercial delivery.
- Sequence migrations so the business keeps shipping while the platform improves underneath.
Who you are:
- A systems thinker. When someone describes a requirement, you think about the data model underneath, the identity resolution upstream, and the three teams whose work will break if you get this wrong. You find the edge cases before engineering does.
- Technically deep. You can read a schema, follow a data flow, and have a real conversation with engineers about API design, migration strategies, and system trade-offs. You don't write production code, but engineers respect your judgement because you've earned it.
- Comfortable with complexity. The domains you will own don't have neat boundaries. Merchant identity touches everything. Financial systems underpin every product. You have led large migrations, platform consolidations, or system redesigns and know that the hard part is sequencing, not architecture.
- Execution driven. You break large, intimidating platform programmes into deliverable increments. You keep momentum through complexity rather than getting lost in it.
- Commercially grounded. You can articulate why replacing a vendor saves six figures a year, why a new repayment method unlocks a major revenue stream, or why a migration matters for speed to market. You bring skeptical stakeholders along with data, not slides.
- A clear communicator. You adjust naturally between a technical deep-dive with an engineer and a strategic update for the exec team. You write well, present clearly, and keep stakeholders informed without being asked.
What we think you'll need:
- Experience owning platform or infrastructure-level product areas: data platforms, identity systems, ledgers, core banking, payments infrastructure, or similar.
- A track record of leading complex migrations, vendor transitions, or platform redesigns in production, with real deadlines and commercial pressure.
- Experience in fintech, lending, payments or financial services. You understand payment rails, revenue-based finance, and the regulatory context around financial products.
- Strong data skills and genuinely excited about using AI tooling to move faster, whether that's interrogating data, drafting specs, or accelerating your own workflow. You'll be joining an org that's betting heavily on AI across both its products and its ways of working.
Our hybrid approach: Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week, but ideally 4 days. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.
Senior Product Manager employer: Liberis
Contact Detail:
Liberis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Liberis. A friendly chat can open doors that applications alone can't. Use LinkedIn to connect and don't be shy about asking for informational interviews.
✨Tip Number 2
Prepare for the interview by diving deep into the company’s products and challenges. Understand their financial systems and think about how you can contribute to their AI-first transformation. Show them you’re not just another candidate; you’re the one they need!
✨Tip Number 3
Practice your storytelling skills. Be ready to share specific examples of how you've tackled complex problems in the past. Make it clear how your experience aligns with the role of Senior Product Manager and how you can drive cross-functional alignment.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression. Mention something specific from your conversation to remind them why you’re the perfect fit for the team.
We think you need these skills to ace Senior Product Manager
Some tips for your application 🫡
Show Us Your Systems Thinking: When you're writing your application, make sure to highlight your ability to think in systems. We want to see how you connect the dots between different components and how you approach complex problems. Share examples that showcase your understanding of data models and how they impact product outcomes.
Be Technically Deep: We love a candidate who can hold their own in technical discussions. In your application, mention any experience you have with APIs, data flows, or system trade-offs. This will show us that you can communicate effectively with our engineering teams and understand the technical challenges we face.
Keep It Clear and Concise: Your written application should be easy to read and straight to the point. Avoid jargon where possible and focus on clear communication. We appreciate candidates who can articulate their thoughts well, whether it's in writing or during discussions.
Apply Through Our Website: We encourage you to apply directly through our website. This not only streamlines the process but also ensures that your application gets the attention it deserves. Plus, it’s a great way to explore more about our culture and values while you’re at it!
How to prepare for a job interview at Liberis
✨Understand the Product Landscape
Before your interview, dive deep into Liberis' product offerings and the financial systems domain. Familiarise yourself with payment rails, ledgers, and merchant identity systems. This knowledge will help you speak confidently about how your experience aligns with their needs.
✨Showcase Your Systems Thinking
Prepare to discuss specific examples where you've tackled complex platform challenges. Highlight your ability to think in systems rather than just features, and be ready to explain how you foresee potential edge cases that could arise during implementation.
✨Communicate Clearly with Technical Depth
Practice articulating technical concepts in a way that resonates with both engineers and non-technical stakeholders. Be prepared to discuss API design and migration strategies, demonstrating that you can bridge the gap between technical and commercial discussions.
✨Demonstrate Execution and Commercial Acumen
Bring examples of how you've successfully managed large migrations or vendor transitions under pressure. Be ready to explain the commercial implications of your decisions, such as cost savings from replacing vendors or the revenue potential of new repayment methods.