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edenity. is building forward deployed engineering roles to solve complex customer problems at the intersection of product and engineering.
You'll own end-to-end technical deployments, from understanding customer context to delivering working solutions, while maintaining high quality and pragmatism in a scalable platform.
Business identity is still fundamentally broken.
We’re partnering with one of Europe’s fastest-growing RegTech companies, building the infrastructure that allows businesses to prove who they are, who owns them and whether they can be trusted.
Founded by former leaders from one of the fastest growing fintechs globally, they’ve raised €40m+ from globally leading technology investors and built a deliberately small, high-calibre team with experience across companies including Stripe, Adyen, Google, Apple, Spotify, Miro and Klarna.
They’re already working with sophisticated banks, fintechs and technology platforms, but the ambition goes well beyond better compliance software: build the infrastructure for portable business identity across companies, financial institutions and borders.
It’s a large, technically difficult problem. And as the company scales, solving it increasingly happens at the intersection of product, engineering and the customer.
As customers become larger and more complex, there is an important technical layer between what the core platform can do and what a specific customer needs it to do.
Every customer brings a different architecture, workflow, policy environment and set of edge cases.
Push all of that complexity into core engineering and you compromise the product. Treat it as implementation or customer success and you lose the technical depth required to solve it properly.
The Forward Deployed Engineer sits in between.
You’ll own complex technical problems from customer context through to working solution.
That might mean building an integration, configuring the platform, debugging unexpected behaviour, writing code on top of the core product or recognising that a customer problem reveals something the product itself needs to solve.
You’ll work across three broad areas:
Understand. Get close enough to customers and their technical environment to understand the problem beneath the request.
Build. Integrate, configure, debug and extend the product to make it work within complex customer environments.
Abstract. Identify patterns across deployments and help determine what should become tooling, infrastructure or core product capability.
This is not technical customer success or solutions engineering with a new title.
As an engineer, you'll still build.
The difference is that you’ll operate with significantly more customer and product context than most engineering roles give you.
We’re looking for someone with a strong software engineering foundation, likely from product, full-stack or backend engineering, who wants to move closer to customers without moving away from building.
You’re comfortable when the problem isn't perfectly defined. You can understand the customer context, get into the technical detail and work out the most pragmatic route forward.
You care about quality, but you're not a perfectionist.
You investigate before you patch.
And other engineers trust what you ship.
Experience in RegTech, fintech, payments, KYC/KYB, identity or similarly complex infrastructure is useful, but not essential.
Technical range, judgement and learning velocity matter more.
We have hypotheses, not a rigid archetype.
The underlying combination is what matters:
The interesting question isn't simply how to solve one customer's implementation.
It's:
How do you make a sophisticated product work for increasingly complex customers without building a different product for every customer?
The product is scaling. The customers are becoming more sophisticated. And the technical problems at the edge of the platform are becoming more interesting.
This is an opportunity to join early enough to help define how forward deployed engineering works here, surrounded by people with an unusually high technical bar, while staying firmly in the work itself.
Close enough to the customer to understand the real problem. Technical enough to solve it. Experienced enough to know what should be solved differently next time.