Top Tech Jobs & Startup Jobs in London

Lead a cross-functional engineering team to define technical and product vision, deliver scalable microservices and integration platforms, mentor engineers, ensure execution and engineering quality, hire and develop talent, and align with company-wide architecture and strategy.

Build and scale Wise's price comparison platform: develop scrapers, ingestion and validation pipelines, event-driven backend APIs, and monitoring to ensure accurate, trustworthy competitive-pricing data. Collaborate with product, analytics and engineering teams, own end-to-end delivery, and improve reliability and observability.

Lead backend development for Business Pricing: design and implement pricing plans, collaborate with product, data and design teams, deliver testable, maintainable services using JVM technologies, own features end-to-end, and drive product-focused, data-informed improvements to customer experience.

Design and deliver a real-time liquidity observability stack and core treasury functions. Build scalable, event-driven systems, implement monitoring and control mechanisms, automate cash investment and risk tooling, and collaborate with product, data scientists and stakeholders to forecast cash flows and optimize liquidity.

Lead data scientist for Marketing: build and maintain predictive models (LTV, MMM), model customer behavior and product usage, prioritize marketing investments, reduce measurement uncertainty, and partner with analysts and marketers to translate model outputs into actions that drive growth.

Lead a Solutions Engineering team to deliver post-sales technical consulting for partners integrating Wise via APIs. Guide architecture and integrations (REST/OpenAPI/OAuth2), design scalable microservice solutions, influence product roadmap, manage partner relationships, mentor team members, and occasionally contribute hands-on to project delivery while supporting partner launches across EMEA.

Lead end-to-end growth and marketing analytics: run deep-dive analyses, build dashboards and analytical frameworks, measure regional performance, and translate insights into actionable recommendations. Partner with senior regional marketing and product stakeholders, use SQL, Python, AI, and automation to build scalable analytical assets and support execution of growth initiatives.

Own and operate production quantitative infrastructure for real-time FX pricing, risk, and trading. Build and maintain Python microservices, monitoring, CI/CD, shared quant libraries, and incident response. Collaborate with quants, traders, product and engineering to improve pricing, risk analytics, and trading systems while contributing to quantitative models.

Lead Analytics Engineer mentors analysts, defines data infrastructure roadmap, builds and maintains core datasets and analytics pipelines, drives adoption of tooling (dbt, Airflow, BI), and enforces data modelling, monitoring, testing, and best practices.

Own and drive the end-to-end servicing experience for High Volume customers. Define strategy and roadmap, scale operational capabilities, deploy AI where valuable, collaborate with Fincrime, Compliance, Operations and product teams to improve predictability, trust, activation, retention and revenue for top-tier customers.