Principal Product Manager - Enterprise Asset Management & Agentic AI

About the role

IFS is hiring a Principal Product Manager for its Enterprise Asset Management business, which serves asset-intensive operators in Energy, Utilities & Resources, Manufacturing, Construction & Engineering, Communication, Aerospace & Defence and Service Industries. The role owns products that maximise asset value, reliability and uptime while reducing risk and total cost of ownership across the full asset lifecycle, from capital build through operation, maintenance and turnaround. It treats agentic AI as a core capability rather than a feature.

Key responsibilities

• Set a clear product vision and roadmap tied to measurable outcomes such as asset availability, reliability, maintenance cost and turnaround schedule and budget adherence, and build investment cases for core and AI revenue streams.
• Lead discovery with maintenance, reliability, operations, turnaround/STO and capital-planning leaders, and prioritise ruthlessly on measurable value.
• Embed agentic AI into project-based work: autonomously assembling and challenging turnaround scope, optimising campaign and outage schedules, surfacing readiness gaps and continuously replanning as conditions change.
• Own the product lifecycle from concept to launch to scale, remove blockers and keep Engineering, Design, Marketing, Sales and Customer Success aligned.
• Define differentiation and value for asset-intensive buyers, support pricing, packaging, launches and customer presentations, and own adoption as a core metric.

Required profile

• 6+ years of product management experience in SaaS, platform or enterprise software environments.
• Deep knowledge of shutdown, turnaround, major capital investment projects or similar activities in the context of EAM.
• Hands-on exposure to one or more of IFS's core industries (Aerospace & Defence, Energy/Utilities & Resources, Manufacturing, Construction & Engineering, Telecommunications, Service Industries).
• Proven track record of launching and scaling products and of defining and executing product strategy.
• Exceptional communication, stakeholder management and prioritisation skills, and a data-informed decision-making mindset.

Required skills

• Customer discovery, prototyping and solution validation.
• Desirable: familiarity with asset management standards and practices (e.g. ISO 55000, RCM, EHS/compliance) and asset data models (work orders, asset hierarchies, condition/IoT data).
• Desirable: experience with developer platforms, application frameworks, data services or AI/ML-enabled enterprise applications, and prior exposure to pricing, monetisation or P&L ownership.

The company offers flexibility and hybrid work opportunities.