Top Tech Jobs & Startup Jobs in London

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI neobank product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. The role involves shaping reliable financial systems across APIs, data flows, ledgering, reconciliation, security, scalability, and regulatory requirements. Responsibilities include applying AI with safeguards and evaluation, managing financial rails and third-party dependencies, and aligning engineering, design, compliance, operations, treasury, and finance. Candidates need strong technical product management experience in regulated financial or other high-consequence domains.

Own product areas within AI stockbroking and financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Own technical direction and execution for major products and systems. Design scalable backend, frontend, API, database, and infrastructure solutions; write code; prototype; review code; debug production issues; make architecture trade-offs; convert ambiguous problems into execution plans; improve engineering quality; lead critical initiatives; and mentor engineers.

Lead technical direction and execution for major products and systems. Design scalable and reliable backend, frontend, API, database, and infrastructure solutions; write code; make architecture trade-offs; resolve production issues; improve testing, security, observability, and development practices; and mentor engineers across teams.

Own technical direction and hands-on execution for major products and systems. Design scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure; write code; lead architecture decisions; solve production problems; improve testing, security, observability, and development practices; and mentor engineers across teams.

Own technical direction and hands-on execution for major products and systems. Design scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure; write code; lead architecture decisions; solve production issues; improve engineering quality, testing, security, and observability; and mentor engineers across teams.

Lead technical direction and hands-on execution for major products, systems, and engineering initiatives. Design scalable and reliable backend, frontend, API, database, and infrastructure solutions; write code; make architecture trade-offs; solve production problems; improve testing, security, observability, and development practices; and mentor engineers across teams.

Owns an AI-focused finance product vertical from strategy through launch, including outcomes, metrics, prioritization, technical design, money movement correctness, reliability, compliance, and AI evaluation. Partners with engineering, design, compliance, operations, treasury, and finance to manage regulatory gates, trade-offs, failure handling, and trusted user experiences. Requires strong technical product leadership, system design knowledge, regulated-domain experience, and hands-on familiarity with LLM-based products.

Lead product direction, roadmaps, standards, metrics, and execution for major areas of KIRA’s AI stockbroking app. Guide product managers, product owners, designers, and engineers across multiple squads; balance UX, data, engineering, regulatory, operational, and business considerations; drive launch quality and continuous improvement; and build a high-performing product culture focused on speed, clarity, user value, and measurable outcomes.