Top Product Manager Jobs in Edinburgh

Lead 0->1 product discovery and rapid prototyping to drive AI-driven, educator-focused features. Define problems, translate ambiguous ideas into requirements, partner with engineers/designers/data scientists, run experiments and A/B tests, measure impact, iterate, and scale validated innovations into the core platform.

Lead product vision, strategy, and roadmap for multi‑million dollar B2B SaaS lines. Collect customer feedback, prioritize and ship features, manage projects end‑to‑end, and measure product impact while balancing engineering cost and business value.

As a Product Manager at Orderly, you'll lead product initiatives, collaborate with development teams, analyze data for product strategy, and manage prioritization and communication in a fast-paced, international environment.

Lead global strategy, NPD, and lifecycle management for Thermal Chilled Water portfolio. Define roadmaps, build business cases, drive profitability, align regional teams, and lead cross-functional execution to ensure successful product launches and continuous portfolio optimization.

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.

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.

Lead strategy, planning and lifecycle for a technical customer education portfolio. Define roadmaps, prioritize learning products across modalities, partner with stakeholders, measure adoption, and use data and AI-enabled tools to improve learner outcomes and portfolio performance.

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.

Own the strategy, requirements, evaluation, and reliability of AI agent products. Partner with ML, backend, and mobile engineers to make trade-offs across quality, latency, cost, UX, and reliability. Define offline and online evaluation frameworks, incorporate human feedback, guide prioritization, and ensure AI features are understandable, predictable, safe, and trusted by users.

Own the end-to-end product strategy and execution for AI agent systems. Define technical and behavioral requirements, evaluate model performance, guide trade-offs across quality, latency, cost, reliability, and user experience, and partner closely with ML, backend, and mobile engineers. Establish evaluation frameworks, prioritize roadmaps, drive rapid and safe delivery, and ensure AI features are predictable, trustworthy, and valuable to users.

Lead product strategy, define vision and roadmaps, gather and prioritize requirements, translate objectives into specs and user stories, manage lifecycles from discovery to launch, collaborate with design and engineering, set KPIs, analyze market and customer feedback, and drive data-informed product improvements.

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.

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 Vegetation Intelligence product, owning roadmap from ML detection models to customer-facing risk products. Advance detection models, integrate outputs into outage and ignition risk, run user research, and translate model capability into actionable B2B products used in the field.

Own and ship the core operator and customer-facing product surface end-to-end. Define scope, collaborate tightly with engineers and designers, use customer insights and AI-driven workflows, manage core workflows, roles/permissions, reporting, data models, and growth funnel to improve daily operator experience.

As a Technical Product Manager for AI Systems, you will define system requirements, collaborate with engineers, ensure product quality, and align AI capabilities with user needs.

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.

Define and execute Kraken’s hybridization and on-chain product strategy across Pro and Consumer products. Own roadmaps, cross-functional execution, ecosystem partnerships, product metrics, experimentation, and the full lifecycle from discovery through iteration. Simplify complex on-chain experiences for consumers while aligning Engineering, Design, Growth, Security, Operations, Legal, and external partners.

Own the B2B product strategy, vision, roadmap, and end-to-end customer experience for SME and large commercial energy customers. Lead onboarding, account management, billing, contracting, settlement, and retention capabilities across multiple product teams. Drive B2B migrations to Ignition, improve customer and agent experiences, and use data and AI to increase operational efficiency and support international growth.

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.

Lead and coach a team of Product Managers, shape product strategy and discovery, guide clients through digital transformation, embed product management ways of working, and apply AI and data-driven decision making to deliver valuable digital products.

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.