Top Product Manager Jobs in Belfast

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.

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.

Own global eCommerce storefront initiatives from discovery through launch and optimization. Define product scope, requirements, metrics, and UX solutions; conduct research and usability testing; create wireframes, prototypes, copy drafts, and specifications; coordinate development delivery, QA, releases, and rollbacks; and use analytics, A/B testing, and experimentation to improve conversion and storefront performance.

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.

The Product Manager will lead the VMS product area, overseeing discovery, product development, and collaboration with cross-functional teams to enhance security solutions.

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.

Lead product execution for Ping Identity's Identity for AI solution: define strategy, prioritize features, gather market and customer requirements, produce technical requirements, manage roadmap and backlog, collaborate with engineering, design, sales and marketing, enable go-to-market, and leverage AI tools to improve product workflows and delivery.

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.