Top Product Management Jobs in London

Lead product strategy and execution for an internal FinCrime and operations platform. Own customer risk data, intelligent case handling, and AI/automation foundations. Manage a 30-person multi-team squad, align cross-functional stakeholders, drive consolidation of tooling, and productize ML/LLM capabilities to scale compliance, reduce manual work, and lower cost-to-serve.

Own a Business Onboarding Verification workstream (KYB) end-to-end: define problems, set roadmap and success metrics, partner cross-functionally, launch safely with guardrails, reduce manual work, improve risk decisioning and customer experience.

Lead the onboarding product area (Consumer Onboarding, Account Setup, Account Access & Recovery). Improve conversion, remove drop-offs across signup/KYC/profile/pricing/transactions, own login/recovery/2FA UX, balance growth with compliance and security, partner with cross-functional teams, and manage a team of PMs to drive measurable product outcomes.

Lead product compliance for core payment and customer-eligibility flows. Translate multi-jurisdictional regulatory obligations into product and engineering decisions, shape regulatory infrastructure and assurance frameworks, and collaborate with legal, product, engineering, and regional teams to ensure consistent, scalable compliance across markets and payment schemes.

Lead strategy and product for AML prevention, building ML/LLM-driven systems to stop regional and hyper-specific financial crime. Collaborate with regulators, law enforcement, and cross-functional teams to define metrics, roadmaps, and automation to maximise prevention while minimising operational cost and customer friction. Mentor and support other product managers and drive delivery across London and Tallinn.

Lead development of a governance platform enabling Fraud, AML, KYC, Screening, and Compliance teams to build, monitor, and audit risk controls. Own data governance, control assurance, auditability, governance analytics, and regulatory readiness. Set KPIs, roadmap, and collaborate with Engineering, Data Science, Risk, and Audit to translate regulatory and technical requirements into scalable products.

Lead the vision and roadmap for a global behavioral and identity-linking platform that maps user associations to detect financial crime, enable risk automation, and support product teams. Align engineering, data science, and operations to deliver a scalable graph-based data store, define KPIs, balance detection accuracy with privacy, and provide tooling and data to block bad actors while improving legitimate user experience.

Lead product efforts to detect money laundering and related fincrime by building hyper-targeted, region-specific detection systems using machine learning and LLMs. Work with compliance, data scientists, engineers, designers and ops to define vision, roadmap, and measurable metrics (AML Recall and SAR Cost) while satisfying global regulatory requirements and improving automation and precision.

Lead the architecture and roadmap for Wise's marketing platform: tracking, attribution, CRM (Braze), paid-channel integrations, consent and privacy compliance, and warehouse-to-ad-platform data flows. Ensure accurate, auditable event pipelines and LTV models, support CRM and marketing teams, oversee vendor evaluations and legal/security reviews, manage data retention/deletion, and translate technical risks into business impact for senior stakeholders.

Lead product strategy and execution for Wise's core accounting/ledger infrastructure. Ensure availability, data integrity, and controls across General Ledger databases, backend microservices, and ERP integrations to enable real-time reconciliation, compliant reporting, and scalable financial operations across 50+ countries.