Senior AI Product Manager, Productivity Solutions

About the position

We’re looking for a Senior AI Product Manager, Productivity Solutions, to lead the implementation of AI-powered solutions across enterprise-wide transformations. You’ll drive efficiency gains through intelligent automation, process redesign, and workforce augmentation. This is a unique opportunity to shape how AI drives meaningful change in how work gets done, at scale.

Responsibilities

• Orchestrate AI Solutions: Design modular, scalable AI-powered workflows that unlock material efficiency and productivity gains, continuously refine and tune AI implementations to ensure optimal performance and adoption.
• Transform Workflows: Reimagine and automate traditional business processes through modern tools and methodologies.
• Redesign Interfaces: Streamline handoffs between functions to remove friction and increase throughput.
• Own the Data: Define and track performance metrics, ROI, and adoption using dashboards and analytics tools.
• Create Frameworks: Develop reusable delivery models to support enterprise-scale implementation of AI.
• Scale Strategically: Design solutions with scalability and future integration in mind.
• Engage Stakeholders: Partner cross-functionally with Product Leads, Tech Leads, Process Owners, Project Managers, and Change Managers.
• Mitigate Risk: Proactively identify and address risks related to AI adoption, performance, and delivery quality.
• Enhance User Experience: Ensure AI tools improve, not complicate, the user experience.

Requirements

• At least 2 years of hands-on AI implementation experience in enterprise environments.
• A track record in process improvement, workflow redesign, and operational transformation.
• Strong skills in data analytics, performance tracking, dashboard creation, and executive reporting.
• Demonstrated experience managing cross-functional workflows and operational complexity.
• Proven ability to design and scale systems and solutions across large organisations.

Nice-to-haves

• Proficiency in enterprise AI tools (e.g. OpenAI, Microsoft Azure, Google AI, Anthropic).
• Advanced capabilities in process mapping, optimisation, and automation.
• Experience with performance measurement and analytics platforms.
• Background in enterprise transformation and digital delivery.
• Understanding of agile and DevOps methodologies.
• Proven success in delivering measurable cost and quality improvements.

Benefits

• Meeting-free Friday afternoons allowing more time for heads down work and professional development.
• Robust body of employee programming facilitating a wide range of opportunities to foster community, learn, and grow.
• Commitment to fair, transparent pay and competitive compensation.
• Comprehensive benefits package.