Top Tech Jobs & Startup Jobs in London

Own product areas across financial services within KIRA’s AI neobank app. Define customer problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial workflows, launch features, monitor performance, and iterate using data, research, feedback, and production insights.

Own AI Investing product areas by defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights. Balance speed, customer experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Partner with engineering, design, data, operations, compliance, and business teams to ship features, monitor performance, simplify financial journeys, and iterate using research, feedback, experiments, and production data.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial workflows; launch features; monitor performance; and drive continuous iteration using data, research, feedback, and production insights.

Own AI stockbroking and other financial-services product areas from user-problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; use research, feedback, experiments, and performance data to improve products; and balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas within AI stockbroking and broader financial services, from identifying user problems through roadmap definition, launch, measurement, and iteration. Partner with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, make prioritization trade-offs, and improve customer journeys using data, feedback, research, experiments, and production insights.

Build scalable backend systems for BJAK’s AI Finance Agent, including APIs, workflows, multi-provider insurance integrations, quote comparison and ranking, customer data systems, secure audit trails, cloud infrastructure, CI/CD, observability, and security controls. The role requires reliable handling of timeouts, retries, partial failures, sensitive data, and integrations across markets and partners.

Own AI Investing product areas across financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, launch features, monitor performance, use research and feedback to iterate, and balance speed, user experience, business impact, compliance, and operational complexity.

Build modern frontend applications for an AI-driven insurance platform. Responsibilities include creating multi-step quote forms with validation, quote results and comparison pages, and fast, SEO-friendly marketing pages. The role requires strong React experience, ideally with Next.js, accessibility awareness, and experience delivering serious products. Nice-to-haves include e-commerce or marketplace experience, design systems, regulated industries, and web analytics.

Own product areas for AI stockbroking and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; use metrics, research, feedback, and production issues to improve decisions; launch features, monitor performance, and drive iteration.