Top Tech Jobs & Startup Jobs in London

Build and scale backend systems for Wise’s recipient management experience. Responsibilities include developing distributed systems, designing and maintaining RESTful APIs, optimizing relational and non-relational databases, creating scalable schemas, and driving technical vision. Collaborate closely with product, design, and analytics teammates in an autonomous agile team while applying testing, code reviews, and best coding practices to solve customer problems.

Build and maintain backend solutions for Wise’s recipient and contacts experience. Responsibilities include developing scalable distributed systems, designing RESTful APIs, working with relational and non-relational databases, optimizing queries, designing schemas, writing testable code, conducting code reviews, and collaborating with designers, product managers, and analysts in an autonomous agile team.

Own and scale Wise Business’s GTM systems, designing Salesforce solutions, complex workflows, custom objects, integrations, and sales processes. Build lead intake, scoring, routing, and qualification capabilities while partnering with Sales, Revenue Operations, Marketing, Enablement, and Analytics. Lead cross-functional initiatives from technical scoping through deployment and rollout, identify process improvements, evaluate vendors, and support the development of scalable systems in a high-growth environment.

Lead UX research for Wise’s Mitigation Platform, shaping platform strategy across teams, regions, and operational workflows. Define research priorities, select mixed methods, uncover shared and team-specific needs, and translate complex findings into actionable product decisions. Influence senior stakeholders, establish success metrics, mentor non-researchers, and guide the use of AI and LLM-powered workflows for agents. The role requires strong systems thinking, storytelling, research rigor, and comfort working embedded in ambiguous, fast-paced product environments.

Lead the design, scalability, and execution of Wise Europe's financial crime compliance framework for platform partnerships. Oversee correspondent banking partner onboarding, ongoing monitoring, product launches, risk mitigation, control effectiveness, and key risk indicators. Advise Product, Operations, AMLCO, senior leadership, regulators, and external partners on complex AML decisions. Communicate strategic risk insights to the Board, defend compliance standards, and coach compliance specialists and cross-functional teams.

Leads analytics strategy and execution for Wise’s Internal Audit function, managing 1–2 analysts while delivering audit analytics, automation, continuous testing, AI initiatives, and management-information dashboards. Partners with stakeholders across risk, finance, technology, operations, financial crime, analytics, and engineering. Ensures analytical quality, rigor, and impactful insights across global audit programs.

Develop and lead social creative strategies for always-on content, campaigns, reactive moments, and product launches. Translate audience research, social listening, cultural trends, and platform insights into original social-first concepts for TikTok, Instagram, and YouTube Shorts. Collaborate with channel, production, regional, brand, and campaign teams, use testing and performance insights to refine content, and provide creative feedback to raise team quality.

Lead Wise’s Finance Systems engineering organization and define the architecture and roadmap for ERP and related finance platforms. Responsibilities include hiring and developing engineering teams, leading ERP modernization, building SOX engineering controls, improving deployment and operational maturity, partnering with Finance and Product, and implementing appropriate automation and AI tooling for finance operations. The role requires enterprise ERP expertise, regulated-domain leadership, audit-ready engineering practices, and CFO-level stakeholder management.

Own the global marketing measurement framework spanning attribution, experimentation, and Marketing Mix Models. Lead two analysts, develop the measurement product roadmap, build scalable attribution features using SQL, Python, and dbt, and generate insights to optimize marketing channels and spend. Partner with marketing, data science, engineering, and finance teams while serving as the subject matter expert on advertising effectiveness and communicating recommendations to technical and non-technical stakeholders.

Analyze paid social audiences and platform performance to identify bidding, budget, and testing opportunities. Design experiments, validate measurement signals, maintain dbt data pipelines, and build reliable BI dashboards. Develop analytical frameworks for budget optimization, investigate anomalies, and communicate insights, risks, and trade-offs to marketing stakeholders. Collaborate with platform, data science, marketing science, and analytics engineering teams while applying attribution, unit economics, incrementality, and marketing measurement expertise.