Lead Technical Product Manager

Who you are

• The ideal candidate combines strong product management expertise with technical depth in AI/ML systems, platform products, APIs, data services, and operational workflows
• 8+ years in Product Management, Technical Product Management, or Product Owner roles
• Experience delivering AI, Machine Learning, Analytics, Data, API, or Platform products
• Experience working in Agile and SAFe delivery environments
• Demonstrated success driving cross-functional initiatives from concept to production
• Strong understanding of:
• AI and Machine Learning concepts
• Generative AI and Agentic AI use cases
• APIs and Microservices
• Cloud Platforms
• Data Engineering and Analytics
• Platform Architecture
• Operational Metrics and Monitoring
• Agile and SAFe delivery methodologies

What the job involves

• We are seeking a Lead Technical Product Manager to drive the definition, execution, and operationalisation of AI-powered products and services
• This role will be responsible for managing AI rules, operational processes, platform capabilities, and product delivery while partnering with engineering, data science, business, risk, and operations teams
• The individual will ensure AI solutions are scalable, reliable, measurable, and aligned with business objectives. This aligns with the responsibilities of Lead Product Manager-Technical roles found internally, including ownership of roadmap, backlog, feature prioritisation, delivery, and operational performance
• Define product vision and roadmap for AI-powered capabilities and operational services
• Partner with business stakeholders to identify opportunities for automation, intelligence, and operational improvements
• Translate business needs into product requirements, features, and delivery plans
• Prioritise investments based on customer value, operational efficiency, business impact, and technical feasibility
• Define and manage AI business rules, decision criteria, thresholds, and exception handling processes
• Work with data scientists and engineering teams to establish measurable success criteria for AI-driven capabilities
• Drive continuous optimisation of AI outcomes through experimentation, monitoring, and operational feedback
• Manage rule change processes and feature enhancements across AI products
• Own backlog prioritisation, feature definition, and release planning
• Develop epics, user stories, acceptance criteria, and success metrics
• Lead agile ceremonies including backlog grooming, sprint planning, reviews, and release readiness
• Partner with engineering teams to ensure predictable and high-quality delivery
• Collaborate with architects and engineers on APIs, integrations, data flows, and platform capabilities
• Evaluate trade-offs involving scalability, latency, resilience, security, and maintainability
• Ensure technical solutions support long-term platform strategy and reuse
• Drive platform thinking rather than one-off feature development
• Serve as the primary product owner for AI initiatives
• Communicate roadmap priorities, risks, dependencies, and outcomes to leadership
• Coordinate across Product, Engineering, Data Science, Operations, Business, and Customer Success teams
• Influence strategic decisions using data and customer insights

The application process

• End Date: August 29, 2026