Top Product Manager Jobs in Edinburgh

Owns the full data-product lifecycle, including retail data imports, integrations, pipelines, metrics, reporting APIs, AI agents, and dashboards. Sets roadmap priorities, conducts retailer discovery, partners with engineering and data teams, validates product adoption, and uses SQL and analytics to measure business impact. Requires strong technical depth, enterprise customer communication, cross-functional execution, and occasional travel for store and customer visits.

Own the end-to-end product direction and quality of AI-powered systems. Define requirements, evaluation frameworks, quality bars, and feedback loops while balancing model quality, latency, cost, reliability, safety, and user experience. Partner deeply with ML, backend, and client engineers on system design and iteration, identify failure modes, and drive execution in a fast-moving zero-to-one environment.

Lead Remote Build product strategy and delivery: decide which bespoke integrations become productized capabilities, own packaging/pricing and unit economics, run standard and custom connector deployments, codify agent/app reference architectures and starter kits, productize managed services, and translate customer engagements into actionable platform feedback.

Lead the development of Smart Data Products within Actian's ecosystem, managing all stages of the product lifecycle and collaborating with cross-functional teams to drive innovation and adoption.

Own the strategy and roadmap for Managed Detection and Response, Endpoint Detection and Response, and Incident Response products. Lead customer discovery, translate needs into product opportunities, and collaborate with engineering, design, security operations, marketing, sales, and customer success. Manage EDR and MDR vendor relationships, support go-to-market launches, improve product processes, and drive innovation based on cybersecurity trends and data.

Lead product strategy and execution for fraud, credit risk, and compliance across the customer lifecycle. Build automated, platform-oriented systems for onboarding verification, AML/KYB screening, fraud detection, reserve management, collections, and enforcement. Partner with Risk, Compliance, Treasury, Legal, Engineering and Operations to ship iterative, data-driven solutions that reduce manual effort and false positives while improving risk accuracy and scalability.

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

Own the roadmap for acquiring fraud and risk monitoring. Build real-time rules, ML models and Agentic AI to reduce fraud and chargebacks, improve chargeback handling and recovery, define metrics, run experiments, and lead cross-functional delivery across Engineering, Data Science, Risk, Operations and Finance.

Lead employer-facing product and establish an internal data and reporting portfolio. Own roadmaps, backlogs, service levels for data products, and delivery readiness. Work embedded with engineering pods, hire and onboard the team, define data product standards, drive adoption of data-informed decisions, and manage senior stakeholders across the business.

The Senior Product Manager will oversee an AI recruitment product, focusing on delivery and operational coordination while working with engineering and design teams to drive product development and improvements through data analysis and user feedback.

Lead product strategy, discovery, and roadmap for Trust Wallet; collaborate with engineering, design, security, and marketing to build secure, compliant, and scalable wallet features; drive user engagement, retention, and growth; manage and mentor a product team; set KPIs and iterate using data-driven insights.

As a Technical Product Manager (AI), you'll manage projects, prototype tools, and enhance AI insights for decision-making at Verve.

Own a major area of the Maia AI data automation product: define roadmap, prioritise features, set and track metrics, run AI evaluations, deeply understand data engineer workflows, and use AI tools to accelerate product work while delivering commercial impact.

Own a fintech product vertical end-to-end: define strategy, roadmap and acceptance criteria; shape technical design for money-movement correctness, reliability and compliance; apply and evaluate AI/LLM features safely; coordinate engineering, design, compliance, ops, treasury and finance to ship regulated features behind partner and regulatory gates.

Own the Core Platform product strategy and roadmap to improve scalability, reliability, security, and flexibility. Lead discovery for complex technical problems, drive execution-engine and distributed-execution improvements, manage major releases and migrations, align cross-org stakeholders, and engage enterprise customers to prioritize foundational investments.

Lead the reporting product for GEO/AI visibility: define methodologies, KPIs, dashboards, and roadmap. Partner with Data Science, Engineering, Design, and Revenue to deliver client-facing analytics, run discovery and beta programs, and monitor industry trends to inform product strategy.