About Hyperlayer

Hyperlayer is the intelligent banking platform built for the agentic economy: the financial control layer that sits above banks' existing cores, enabling next-generation Smart Accounts, without ripping anything out. From a single integration, we give financial institutions a secure rules and orchestration engine that lets them design, launch and scale hyper-personalised products in weeks while preserving stability, compliance and control. And there's nothing like us anywhere in the world.

Hyperlayer works with Tier 1 and Tier 2 FIs across the UK, US, EMEA and Hong Kong, with an award-winning UK consumer app (HyperJar) sitting in the group. We're creating the fintech category that every bank in the world needs: programmable, governed, agent-ready accounts. Your job is to make sure our audiences know that.

About the role

• We're hiring a Product Manager (Product Builder) to take end-to-end ownership of one of three product surfaces: Wealth & Asset Management, Core Banking, or Payments. This is a hands-on, AI-native role — you'll move from concept to working prototype quickly, using AI-assisted tooling to accelerate discovery and delivery, rather than relying on lengthy specs and roadmap reviews. You'll work as part of a small, senior product team with direct access to engineering, customers and the founding team, and as the team grows, there's real scope to deepen your ownership of your chosen product surface's strategy.
• This is an office-based role, with regular in-person collaboration in the office.

What you'll do

• Own end-to-end product outcomes for your chosen surface — Wealth & Asset Management, Core Banking, or Payments — from discovery through to production
• Move quickly from concept to working prototype, using AI-assisted tooling to test ideas rather than only writing specification
• Design and govern AI agents within your product surface, defining what they can and cannot do, and holding the quality bar for their outputs.
• Build systems that surface customer and market insight on demand, synthesising support data, user behaviour and market signals.
• Make system-level product judgements — API design, data models and integration patterns — not just feature decisions.
• Connect product decisions to measurable business and customer impact, and stay close to what's live through monitoring and evaluation.
• Work directly with customers, engineering and the founding team, with no approval layers in between.

Qualifications

• A demonstrable track record of shipping products in complex, regulated environments — not just owning a roadmap.
• Practical experience using AI tools to prototype, generate insight, or build product surfaces, beyond writing or admin tasks.
• Strong technical depth — you're comfortable reading an API spec, interrogating a data model, and challenging an engineering design.
• A commercial understanding of how your domain generates and loses margin, and how product decisions affect that.
• Comfort working with ambiguity and pace, without an established playbook.
• Deep domain expertise in at least one of the areas below (please let us know which when you apply):

◦        Wealth & Asset Management — experience from inside a private bank, wealth platform, asset manager, or fintech serving this space, with regulatory depth across MiFID II, COBS, PRIIPs and suitability frameworks.

◦        Core Banking — experience from inside a bank, a cloud-native core banking platform, or a fintech built on top of one, with knowledge of GL architecture, product parameters, and PRA/FCA/Basel III requirements.

◦        Payments — experience from inside a bank, payment processor, scheme operator, or fintech payments platform, with fluency across Faster Payments, SEPA, SWIFT, ISO 20022 and sanctions/compliance requirements.

Nice-to-haves

•        Experience spanning more than one of the domains above.

•        Familiarity with model governance and explainability requirements in a regulated context.

•        Experience defining evaluation criteria for AI-driven features in production.

Using AI at Hyperlayer

Hyperlayer is hyper-focused on making the most of AI across every workstream, and this role is no exception — AI fluency is the baseline here, not a bonus.

Day to day, you'll use AI-assisted tooling to move from concept to working prototype in days rather than weeks, and to synthesize customer support data, user behaviour and market signals into continuous product insight.

You'll also design and govern AI agents as part of your product surface, defining evaluation criteria and owning the quality of their outputs in production.

Working at Hyperlayer

We value our team and are proud to offer some great benefits:

•       A performance-based employee bonus scheme.

•       25 days annual leave plus bank holidays, a day off on your birthday, and an additional day per year of tenure to a maximum of 30.

•       Critical illness and life insurance cover.

•       AXA PPP Health Insurance, including gym offers.

•       Cycle-to-work scheme.

•       Referral bonus scheme.

•       Workplace nursery scheme.

Right to work

Applicants must have the right to work in the UK. We are unable to offer visa sponsorship for this role unless stated otherwise.

How to apply

Please click on the 'Apply' button, you will be asked to provide an updated CV and answer some questions. For further information about this vacancy, you can contact us at people@hyperlayer.com.

Equity, diversity and inclusion

Hyperlayer's mission is to make a positive impact on people's lives, making it easier for everyone to manage their money.

Hyperlayer's commitment to equity, diversity, and inclusion is a key part of this; it helps us better serve our customers, employees, and business partners from every background.

We are constantly learning and striving to do better, and we expect all staff to actively take part in this process.

Data Privacy

As part of our recruitment process, Hyperlayer collects and processes personal data relating to job applicants.

We are committed to being transparent about how we collect and use this data and to meeting our data protection obligations. To read more click here.