Top Product Manager Jobs in London

Surgo Health seeks a Senior Product Manager for AI and Data Products to define product strategy, lead product initiatives, and collaborate with cross-functional teams. The role emphasizes building AI-driven solutions in healthcare and requires strong product management skills with a technical background.

Lead strategy, economics, and delivery of corporate experience and B2B payments end-to-end. Define roadmap, partner with engineering, risk, compliance and ops, improve payments performance, own production outcomes, and drive commercial impact and reliable, scalable corporate payment products.

The Product Manager will lead the development of new advertising products, using insights to shape decisions and collaborating with various teams to launch initiatives that enhance Checkatrade's marketplace.

This role involves overseeing the product vision for IT & Cyber Risk, driving AI integration, collaborating on product delivery, and engaging with stakeholders to align product strategy with corporate goals.

The Senior Product Manager will lead the strategy and execution for integrating LSEG's MCP tools into AI workflows, developing integration patterns, onboarding processes, and ensuring workflow reliability and safety for autonomous AI systems.

The Senior Product Manager will develop clinical trial intelligence products, manage product launches, and align with market needs, driving growth and value in the pharmaceutical sector.

The Principal Product Manager for AI Travel will lead pricing intelligence and reconciliation systems across travel verticals, collaborate with cross-functional teams, and scale model-driven infrastructure for financial management.

Own end-to-end implementation and product development for strategic enterprise accounts, design AI evaluation frameworks and prompts, build agentic AI workflows and internal tooling, run UAT and track production analytics, and collaborate with engineering, design, and client teams including on-site client visits.

Own product strategy, roadmap, and delivery for fraud and ATO solutions. Lead end-to-end feature delivery, define APIs, workflows, and operational processes, coordinate with engineering, legal, finance, risk and vendors, and build case management, detection, and investigation systems that protect users while minimizing friction.

Lead product vision and strategy for digital services, apply GOV.UK Service Manual standards, translate user and business needs into priorities, use data to make evidence-based decisions, engage stakeholders and users, champion accessibility, and contribute to the product community of practice.

Lead end-to-end product and commercial strategy for a consumer/prosumer paid software product: define positioning, own roadmap and pricing, run user research and willingness-to-pay tests, build billing and measurement infrastructure, partner with growth to drive conversion, and pivot quickly based on signal.

Own the leads marketplace end-to-end: matching, monetisation and Opportunity Board. Define vision, pricing, packaging and dynamic pricing, improve matching with Data Science, drive growth, hold marketplace quality, and align Product, Engineering and commercial teams to deliver revenue-generating marketplace outcomes.

Define and lead the VCS product strategy to evolve version control and code-change workflows into a standalone ecosystem across JetBrains IDEs. Identify workflow gaps, set roadmaps, explore cross-IDE and AI-native review opportunities, align stakeholders, and work with engineering and QA to deliver scalable, platform-friendly solutions while representing the product externally.

The role focuses on product management for L1/L2 blockchain systems, driving product strategy, collaborating with engineering, and engaging with stakeholders to prioritize features based on feedback and industry trends.

Lead end-to-end product delivery for omni-first marketing products: define requirements and roadmaps, run discovery and UAT, collaborate with engineering, data science and UX, drive GTM and adoption, and measure product KPIs while ensuring privacy and scalability.

Own global strategy, roadmap, and lifecycle for unattended and petroleum-focused payment hardware. Drive market analysis, customer validation, regulatory compliance, and cross-functional execution from concept through launch. Collaborate with engineering, design, platform software, operations, sales, and marketing to deliver scalable, certified hardware solutions and manage portfolio optimization, EOL planning, and global rollouts.

Own an AI investing product vertical end-to-end, including strategy, roadmap, technical design, delivery, metrics, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while aligning compliance, operations, finance, treasury, and design.

Owns an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. Partners with engineering, compliance, operations, treasury, finance, and design across payments, remittance, insurance, wealth, and trading products. Must balance correctness, scalability, security, user experience, cost, speed, and regulatory constraints in high-consequence financial systems.

Own an AI-native stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with appropriate evaluation, safeguards, oversight, and failure handling while aligning engineering, compliance, operations, finance, and external partners.

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

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 the roadmap for development and experimentation vehicle platforms, coordinating software, hardware, engineering, program management, and internal stakeholders. Define requirements, workflows, KPIs, and scalable capabilities that accelerate experimentation, data collection, debugging, deployment, and customer programs. The role requires autonomy or AV experience, embedded-platform expertise, systems thinking, stakeholder influence, and cross-functional execution across complex hardware-software environments.

Owns roadmap execution and capability definition for an Agentic AI Platform. Translates AI platform strategy into requirements, prioritized roadmaps, reusable agent orchestration and lifecycle capabilities, governance controls, observability, and scalable platform patterns. Partners with engineering, architecture, data, security, legal, compliance, customer success, professional services, and customers. Measures adoption, reliability, safety, quality, cost, and business impact while balancing technical feasibility, security, compliance, and customer value.

The Senior Product Manager will enhance content discoverability, establish partnerships, and evolve strategies for usage and protection of Springer Nature research in AI tools, driving business metrics and collaborating across teams.