Top Product Manager Jobs in London

Leads the vision, roadmap, delivery, launch, and ongoing operation of enterprise data products. Defines data requirements, quality standards, models, SLAs, lineage, and success metrics while balancing business value, risk, capacity, and strategy. Partners across engineering, governance, security, and business teams, represents UK/EU stakeholders, drives practical AI adoption, and manages a team of data product managers and analysts through hiring, coaching, and performance development.

Lead the end-to-end launch of Preply Pro, an AI-first freemium product, and manage strategic cross-functional initiatives. Own product strategy, roadmap, pricing, packaging, business case, conversion and retention metrics, stakeholder alignment, customer insight, experimentation, and execution across multiple squads and functions. The role requires operating without a dedicated squad while coordinating resources to deliver measurable commercial and customer outcomes.

Owns the end-to-end delivery and growth of non-documentary identity verification products, including QES, AES, and other electronic signing methods. The role manages product strategy, client adoption, partner relationships, analytics-driven optimization, documentation, support, fallback planning, and cross-functional delivery with engineering and global stakeholders.

Own 0-to-1 product prototyping and delivery for an AI employee managing commercial partnerships. Collaborate closely with engineers, designers, and founders; analyze market trends and customer feedback; identify product opportunities; and oversee development from ideation through launch. The role requires an AI-native builder comfortable using AI tools, strong communication skills, and experience in a technology startup from Seed through Series B.

Own the internal developer platform and agentic development harness as a product. Define strategy, roadmap, standards, reusable services, governance, and evaluation frameworks. Conduct research with engineering teams, prioritize platform investments, and partner with engineering on reliability, security, performance, and scalability. Use adoption, developer experience, reliability, and agent performance metrics to drive decisions and connect platform improvements to faster, safer software delivery.

Own the monetisation strategy and roadmap for major revenue streams such as Partnerships or Insurance. Develop customer-focused merchandising experiences, test and scale revenue features, evaluate pricing and product economics, and identify new growth opportunities. Collaborate with Sales, Partnerships, Finance, Data Science, Design, and Engineering teams across multiple European markets.

Own the roadmap, backlog, requirements, prioritization, adoption, and business outcomes for investment-focused data products. Partner with stakeholders across investment, client, operations, risk, and regulatory reporting to define trusted, governed, AI-ready data products. Translate ambiguous needs into requirements, data definitions, acceptance criteria, and quality rules while collaborating with engineering, analytics, and AI teams. Drive adoption, measure value, manage dependencies, and make clear value-based scope decisions.

Own the end-to-end product journey that converts FX clients into hedgers and recurring policy users. Design client decision tools, CPM workflows, lifecycle messaging, triggered journeys, and experimentation programs. Partner with data, design, engineering, sales, compliance, risk, and clients to improve conversion, retention, and adoption in a regulated fintech environment.

Lead end-to-end FX product lifecycle: define strategy and roadmap, manage discovery and launches, track success metrics and risk, collaborate with cross-functional teams, support incident response, and ensure scalable, secure client solutions.

Own the AgentWarden roadmap for securing enterprise AI agents across risk assessment, runtime controls, alerting, and incident investigation. Lead customer discovery, pilots, and requirements development with security and AI platform teams. Define success metrics, identify buyers and approvers, track agent frameworks and emerging threats, and collaborate with engineering, research, and other product managers. The role requires hands-on agent-building familiarity, knowledge of LLM threats, technical communication skills, and substantial customer-site travel.

Owns discovery, prioritization, and delivery of operational tools, automation, workflows, and AI-enabled products. Partners with Operations, Engineering, Data Science, Risk, and Compliance to reduce manual work, improve customer outcomes, define measurable success metrics, run pilots, and scale solutions across UK and US financial products.

Owns product vision and roadmap for identity resolution and audience activation. Leads identity graph development, cross-device linking, destination integrations, data orchestration, privacy governance, and success metrics. Partners closely with customers, commercial teams, and engineering to translate market needs into specifications and shipped products. Requires deep adtech, martech, or B2B data platform expertise, strong identity and activation knowledge, cloud-native architecture experience, and the ability to expand the customer base.

Lead product strategy and execution for an AI-native mobile communication application. Define requirements, user journeys, priorities, acceptance criteria, and roadmap; collaborate with design and engineering through launch and iteration; analyze user behavior, feedback, and performance metrics; and research market trends and competing products to identify opportunities that improve activation, engagement, and retention.

Own Flo’s monetisation strategy across pricing, subscriptions, paywalls, offers, and personalisation. Analyse regional and user-segment opportunities, design experiments, optimise conversion and lifetime value, and coordinate campaigns across engineering, design, analytics, marketing, and finance. Manage App Store and Google Play subscription configurations while advising product teams on monetisation best practices and experimentation frameworks.

Owns the design, operating model, roadmap, and launch of digital-asset products for tokenized securities issuance, custody, settlement, and lifecycle events. Defines CSD and T2S workflows, reconciliation, asset servicing, regulatory controls, and operational readiness. Leads cross-functional initiatives with CSDs, custodians, settlement banks, Legal, Compliance, Risk, and Operations while monitoring adoption, settlement performance, and exceptions.

Own the vision and strategy for operations tooling supporting Sales and Operations teams. Identify workflow improvements through data and colleague insight, using AI, automation, and technology to reduce manual work. Lead product initiatives from discovery through delivery and measurement, prioritize business impact, align senior stakeholders, and partner closely with Engineering to deliver scalable solutions.

Own SafeIQ’s brand safety and compliance product, including AI-powered content classification, human review workflows, regulatory requirements, licensing, privacy, APIs, and enterprise integrations. Partner with engineering, data science, legal, Trust & Safety, compliance, and go-to-market teams to define requirements, improve explainability and auditability, reduce review backlogs, and align product capabilities with customer and regulatory needs.

Principal Product Manager responsible for defining product strategy, owning roadmaps, and leading multiple high-growth SaaS products through complete lifecycles. Uses quantitative and qualitative insights, experimentation, and customer feedback to prioritize features and improve retention and revenue. Partners with engineering, design, sales, marketing, finance, customer success, and executives to deliver products, present releases, and drive cross-functional execution.

Lead strategy, roadmap, customer experience, commercial model, and go-to-market for Cloudflare’s certificate authority business. Define ACME-first certificate lifecycle products, partner with engineering on reliable and secure infrastructure, and coordinate with compliance, legal, security, operations, sales, and marketing. Drive customer discovery, ecosystem trust, pricing, adoption, and launch planning while addressing WebPKI requirements, audits, incident response, and emerging technologies such as post-quantum certificates.

Own the roadmap for a core data engine, prioritizing datasets, defining data structures and access, and ensuring product value reaches customers. Partner with engineers, analysts, commercial teams, and sales; prototype with messy datasets; manage data quality, metrics, user research, release planning, and stakeholder decisions. The role requires SQL fluency, familiarity with LLM or agent-based pipelines, and experience delivering technical or data-heavy products from user problem through launch.

Own the strategy, roadmap, packaging, pricing, and growth path for Supabase Spark projects, a backend project type designed for agent-built software. Define the MVP-to-production journey, partner with engineering, growth, finance, and platform customers, and use instrumentation, experimentation, and data analysis to guide product decisions. The role is fully remote and emphasizes rapid iteration, developer tools, infrastructure, and agent-driven development.

Own the strategy, roadmap, and development of foundational data products, including governed data models and semantic layers. Partner with analytics engineering, data science, engineering, product, finance, and business teams to modernize data platforms, drive adoption, and demonstrate business impact. The role requires strong product management, stakeholder coordination, metrics definition, agile execution, and working knowledge of SQL, data governance tools, and modern data platforms.

Leads the strategy, roadmap, commercialization, and growth of private markets data products and feeds. Owns product P&L, pricing, partnerships, client engagement, go-to-market execution, and adoption metrics. Translates institutional investor needs into scalable data models, APIs, cloud delivery capabilities, and integrations while collaborating with engineering, data operations, sales, content, and strategic partners. The role also drives product launches, competitive positioning, strategic negotiations, and third-party data partnerships across private equity, venture capital, private credit, infrastructure, and real assets.

Lead complex product initiatives from discovery through delivery across AI-powered and traditional products. Own product strategy, customer research, experimentation, prioritization, and performance improvement while collaborating with UX/UI, technology, and business teams. Provide leadership and line management, champion product best practices, influence stakeholders, and identify opportunities to apply responsible AI and emerging technologies.

Own the strategy and execution of Carwow’s consumer app, from discovery and prioritization through launch and measurement. Partner with design and engineering to create engaging native-app experiences, including AI-powered discovery, personalization, and recommendations. Lead consumer research, manage the backlog, define success metrics, and use controlled experiments to improve engagement, retention, and revenue. Collaborate cross-functionally with product, data, CRM, marketing, and leadership.