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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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management with a focus on AI platforms, including the ability to define product vision, strategy, and roadmap while leveraging data analysis and customer insights. Proven experience in managing agile delivery, mentoring teams, and engaging with stakeholders to drive product adoption and maximize ROI.

Highest-signal resume keywords
Product ManagementAI Platform EngineeringData AnalysisAgile DeliveryStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI-Powered Product FeaturesMLOpsUser Story DefinitionAcceptance CriteriaSQLData GovernanceAPIsSDKsCloud PlatformsContainerization
Soft Skills
People LeadershipCoachingExecutive CommunicationCollaborationCustomer Research
Tools & Technologies
AWSAzureGCPKubernetesDockerLangChainADKCrewAIScrumKanban
Certifications & Qualifications
Master’s Degree in Product ManagementMaster’s Degree in Computer ScienceMaster’s Degree in Data ScienceMBA
Industry Keywords
B2B SaaSEnterprise SoftwareAI EthicsModel ObservabilityAgentic AI

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