Top Product Manager Jobs in Manchester

Lead end-to-end digital product delivery for a major automotive client: discovery through launch, translate stakeholder needs into requirements, run prioritisation and roadmap, collaborate with UX/design/engineering, and drive data-led optimisation including CRO and SEO integration.

Lead technically complex product work on Rosso, embedding with ML, data science and engineering teams to turn business and customer needs into shipped features. Define success criteria for models/forecasts, manage edge cases and operational risk, and prioritize work across portfolio, forecasting, pricing optimisation and related systems.

The Product Manager will drive business development, product lifecycle management, and new product introduction, conducting market research and managing pricing strategies to enhance profitability and support sales activities.

Own the vision, strategy, and roadmap for CoinMarketCap’s on-chain data products. Responsibilities include writing product requirements and user stories, analyzing qualitative and quantitative data, collaborating with business, IT, and design stakeholders, evaluating launched features, and assessing competitors and partners. The role focuses on improving on-chain data infrastructure and integrating internal and third-party tools to create valuable products for cryptocurrency users.

Manage and optimise the CMDB and IT service management processes, lead product ownership using Agile, define KPIs, ensure data governance and quality, drive stakeholder engagement, training, risk/control management, and continuous improvement across IT service delivery.

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 the buyer-side product for OnBuy, EasyShop and Comet as a solo commercial product owner. Define and prioritise buyer-focused roadmap, turn commercial targets into deliverables, improve search-to-purchase conversion, and work closely with Design and Technology to deliver measurable revenue and retention gains. Operate with speed, commercial judgement, data-driven experiments and a scale-up mindset.

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.

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.

Own product strategy and execution for enterprise workflow lifecycle, developer experience, and production operations. Deliver Git-based source control workflows, versioning, rollback, observability, secrets/configuration management, and multi-instance operations. Lead cross-functional discovery with engineering, design, sales, and customer success to prioritise, spec, and ship enterprise-grade features for mission-critical automations.

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.

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.