Product Manager AI/ML

WORKTUAL LIMITED; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

WORKTUAL LIMITED in London seeks a Product Manager AI/ML to own the lifecycle of enterprise generative platforms, bridging business goals with technical execution and delivering production-ready AI features.

You will drive the roadmap, governance of the product lifecycle, and cross-border coordination with engineering teams, while shaping commercial strategies and budgets for scalable AI capabilities. This role requires strong leadership and stakeholder engagement across international teams.

Qualifications

• Minimum education: Bachelor’s Degree or Higher Degree in Computer Science, Data Science, Business, or closely related technical discipline.
• Experience: Minimum of 5 years in data management, machine learning, or AI product management.
• Infrastructure familiarity: Data engineering infrastructure and analytics pipelines.
• Execution: Launching and scaling enterprise-grade cloud-based data products.
• Leadership: Agile/Scrum, stakeholder engagement, cross-functional mentoring.

Responsibilities

• Roadmap and Vision Strategy for advanced Agentic AI and Generative AI.
• Full lifecycle PLM governance from R&D through BAU transition.
• Coordinate technical sprints with engineering teams across geographies.
• Design business cases and budget for API compute and cloud costs.
• Model KPI performance: AI agent accuracy, drift, response times, user resolution.
• Present AI roadmaps to boards and external stakeholders.

Skills

Data management

Machine learning

AI product management

Agile/Scrum

Stakeholder engagement

Education

Bachelor's degree

Job description

The Product Manager AI/ML owns the continuous lifecycle, deployment, and strategic direction of company’s high-growth generative enterprise platforms . This individual acts as the central link between international corporate goals, complex technical execution, and client-facing product delivery. The role ensures that advanced artificial intelligence capabilities translate seamlessly into scalable, production-ready features ,

Detailed Duties & Responsibilities

• Roadmap and Vision Strategy: Architect and present long-term product vision for advanced Agentic AI, Generative AI, and unified communication channels. Define clear development timelines and translate market demands into specific machine learning goals
• Full Lifecycle PLM Governance: Oversee end-to-end Product Lifecycle Management (PLM) using data-focused frameworks Manage products from early R&D ideation, through training/validation phases, to full Business-As-Usual (BAU) transition .
• Cross-Border Technical Orchestration: Coordinate day-to-end technical sprint cycles with the engineering teams based at the Indian subsidiary (p. 6). Ensure local deployments match broader global infrastructure and strict data policies
• Commercialization & Budget Management: Design extensive commercial business cases for product variations Budget accurately for API compute consumption, cloud architecture costs, and specialized engineering needs
• KPI Modelling & Optimisation: Formulate performance indicators evaluating AI agent accuracy, model training drift, response times, and automated user resolution rates
• Cross-Functional Communication: Present complex, technical AI roadmaps into clear strategic summaries for board directors and external corporate stakeholders

Required Qualifications & Education

• Minimum Education: Bachelor’s Degree or Higher Degree in Computer Science, Data Science, Business, or a closely related technical discipline Mandatory Experience & Skills Level
• Experience Required: Minimum of 5 years of verifiable experience in data management, machine learning, or artificial intelligence product management
• Infrastructure Knowledge: Deep conceptual familiarity with data engineering infrastructure, analytics pipelines, and conversational AI mechanics
• Execution Capabilities: Proven history of launching, scaling, and iterating enterprise-grade, cloud-based data products
• Methodologies & Leadership: Advanced expertise in Agile/Scrum delivery styles, stakeholder engagement matrix systems, and mentoring complex cross-functional teams