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Product Engineer, Financial Crime at Godiligent

Join Godiligent.ai as a founding Product Engineer and lead the charge against financial crime with AI. Backed by top-tier investors and founded by fintech veterans, Godiligent.ai is automating complex risk investigations for global banks and unicorns. This unique role requires a blend of deep AML/KYB domain expertise and engineering chops to build the future of compliance. If you're ready to ship production code that stops billions in fraudulent transactions, enjoy a competitive salary of £75k–£110k, significant equity, and the chance to shape a zero-to-one product from the heart of London, apply today!

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Godiligent

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Location

London, United Kingdom

Compensation

£75k-£110k + Equity

Company

Godiligent

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Role overview

As a founding Product Engineer at Godiligent.ai, you will bridge the gap between compliance operations and software engineering. You will own problem areas end-to-end, from deep discovery with customers to shipping AI-driven solutions that automate risk investigations. Your work will directly empower compliance teams to fight financial crime at a global scale.

AI Software10-20 employeesBerlin, GermanyPre-Seed (VC-backed)

Diligent is a London-based  company that builds agents to automate and strengthe Anti Money Laundering operations for banks and fintechs - including running in-depth risk investigations on legal entities and counterparties, verifying and validating customer documents (such as registry extracts and proofs of address), reviewing alerts from transaction screening systems etc

Backed by Y Combinator.

What you will do

  • Collaborate directly with compliance and risk teams at leading fintechs and banks to identify and solve friction points in AML and KYB monitoring.
  • Design, build, and iterate on production-ready software using Python and TypeScript to automate manual reviews and improve alert quality.
  • Shape the overall product roadmap alongside the CEO and CTO, translating real-world industry pain points into technical features that provide a competitive advantage.

Who this is a fit for

  • Possesses 5-8 years of combined experience across financial crime compliance and software engineering, with proficiency in Python, TypeScript, or equivalent languages.
  • Has deep domain expertise in AML, KYB, or fraud operations, including familiarity with industry tools like WorldCheck, ComplyAdvantage, or LexisNexis.
  • Demonstrates a problem-first mindset and the ability to navigate ambiguity, shipping product features independently while taking full responsibility from discovery to delivery.

Why this role is remarkable

  • Join a high-caliber founding team with direct access to founders who have scaled fintech security solutions at Europe’s most successful unicorns.
  • Work at the intersection of AI and RegTech, building autonomous agents that solve massive inefficiencies in global banking and anti-money laundering workflows.
  • Influence the company’s technical and product trajectory from its earliest days, enjoying significant equity and a culture that prizes engineering autonomy.

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