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EXL

Product Manager

EXL

Product Manager overseeing product vision and strategy for EXL’s AI platform. Collaborating with cross-functional teams to define technical priorities and achieve business goals.

Posted 7/1/2026full-timeDublin • 🇮🇪 IrelandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesSQL

About the role

Key responsibilities & impact
  • Own and drive the product vision, strategy and roadmap for EXL’s enterprise-grade AI platform
  • Define and communicate the product vision, strategy and roadmap for the EXLerate.ai platform, aligning technical priorities with strategic business goals
  • Build compelling, data-backed business cases and investment proposals to secure funding and resourcing for new platform capabilities and product teams
  • Manage the platform as a portfolio – prioritising across competing initiatives using structured frameworks (e.g. RICE) to maximise customer value and ROI
  • Engage executives, customers, sales and marketing to shape requirements, validate direction and drive adoption
  • Use customer research and data analysis to identify high-impact opportunities and translate them into clear strategy and scalable solutions
  • Partner with solution and sales teams on client pitches, demos and platform positioning
  • Own and manage the product backlog, ensuring it reflects the strategic roadmap and technical priorities
  • Define and refine user stories, epics, acceptance criteria and success metrics
  • Facilitate sprint planning, backlog grooming and reviews
  • Mentor and coach product team members

Requirements

What you’ll need
  • Master’s degree in Product Management, Computer Science, Data Science or an MBA
  • Hands-on experience shaping AI-powered discovery, personalization or NLP-driven product features in partnership with data scientists
  • Experience in AI infrastructure, agentic AI systems, MLOps or AI platform engineering
  • Familiarity with modern AI/agent frameworks (e.g. LangChain, ADK, CrewAI or similar)
  • Experience with cloud platforms (AWS, Azure or GCP) and containerization (Kubernetes, Docker)
  • Understanding of data governance, model observability and AI ethics/compliance
  • Experience with design systems, platform modernization, APIs, SDKs and developer-ecosystem enablement
  • People leadership and coaching experience, including developing and mentoring product teams
  • Experience in customer-facing, sales-aligned roles presenting to executive stakeholders and clients
  • Bachelor’s degree in Computer Science, Engineering, Information Systems or a related field
  • 6+ years of experience in product management or product ownership, ideally for B2B SaaS, product platforms or enterprise software
  • Proven track record of owning product strategy and roadmap, building business cases and shipping platform or AI-powered capabilities
  • Understanding of agentic AI concepts – LLMs, prompt management, agent deployment and observability
  • Experience managing agile delivery using frameworks such as Scrum, Kanban or SAFe, with the ability to create clear user stories, epics and acceptance criteria
  • Strong customer research, data analysis (including SQL/analytics instrumentation) and prioritisation skills
  • Excellent stakeholder management and executive communication skills, with experience collaborating across cross-functional technical teams

Benefits

Comp & perks
  • A competitive salary with a generous bonus
  • private healthcare
  • life assurance at 4 x your annual salary
  • income protection insurance
  • a rewarding pension
  • professional and personal development opportunities
  • online courses
  • seminars and workshops
  • flexible hybrid working model

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Hard Skills & Tools
AI-Powered Product FeaturesMLOpsUser Story DefinitionAcceptance CriteriaSQLData GovernanceAPIsSDKsCloud PlatformsContainerization
Soft Skills
People LeadershipCoachingExecutive CommunicationCollaborationCustomer Research
Certifications
Master’s Degree in Product ManagementMaster’s Degree in Computer ScienceMaster’s Degree in Data ScienceMBA