Product Manager

• Own and manage roadmaps for assigned AI products and use cases
• Build and maintain value-driven product backlogs
• Translate business needs into AI/ML use cases, functional requirements, and user stories
• Gather user feedback and translate it into product enhancements
• Collaborate with cross-functional teams to estimate effort and assess dependencies
• Ensure technical teams have clarity on requirements, expected outcomes, and business priorities
• Act as Product Owner within agile delivery teams, including backlog ownership, sprint planning, and prioritization
• Identify risks related to model performance, bias, and data quality
• Define release and acceptance criteria
• Define success metrics including business KPIs, model performance, and adoption rates
• Partner with business units to drive AI product adoption
• Develop implementation and change management plans
• Support training, communication, and change management initiatives
• Monitor and report on product performance and business impact
• Drive continuous improvement based on data, insights, and feedback
• Ensure compliance with data governance, ethics, and AI governance standards

AI Product Owner

• Talk directly with customers to understand operational needs, pain points, and current workflows
• Translate customer requirements into actionable product briefs and AI skill specifications
• Identify gaps between customer needs and existing capabilities and prioritize what to build next
• Maintain feedback loops between customer insights and product and engineering decisions
• Build, configure, and improve AI skills and automations
• Work with AI platforms, agents, and tooling to replace manual or consultant-dependent processes
• Test and iterate AI-powered features and workflows using real usage and performance data
• Identify opportunities for AI to improve speed, accuracy, or output quality
• Own product initiatives from requirement through deployment
• Coordinate with internal teams to keep builds on track and aligned with customer expectations
• Document processes, specifications, and AI skill configurations
• Continuously improve products and workflows using AI and automation
• Complete application, video introduction, role-specific assessment if applicable, recruitment interview, executive interview, client interview, and background/reference check

• Lead the strategy, design, and execution of Akamai's expert-driven services portfolio spanning Application and API Security, Network Security, Cloud Compute, and Edge Delivery
• Build and manage managed security, managed digital monitoring, technical advisory, and cloud infrastructure operations service offerings
• Accelerate product adoption, maximize customer value, and drive long-term retention
• Partner with Security & Cloud Technology groups, engineering, sales, and global operations
• Simplify portfolio packaging and define pricing models
• Execute strategic go-to-market initiatives
• Collaborate with the team to define and drive the direction of Akamai's Global Services
• Create Product Requirement Documents (PRDs), define features with detailed acceptance criteria, and develop essential documentation
• Define product roadmaps, scope requirements, and oversee the lifecycle for managed, advisory, and support services
• Develop pricing, packaging, and positioning strategies
• Partner with platform product teams, architects, delivery teams, and the broader services organization
• Align service offerings with core platform capabilities and customer needs
• Own operational metrics, revenue performance, and customer feedback
• Refine service value propositions and reduce churn

CRC 28,900,000 - CRC 52,020,000 per year