Senior Product Manager - Enterprise Asset Management & Agentic AI

About the role

IFS is hiring a Senior Product Manager for its Enterprise Asset Management business, based in Colombo. 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 serves asset-intensive operators in Energy, Utilities & Resources, Manufacturing, Construction & Engineering, Communication, Aerospace & Defence and Service Industries, and treats agentic AI as a core capability.

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 and capital-planning leaders, and prioritise ruthlessly on measurable value.
• Embed agentic AI in project-based work: autonomously assembling and challenging turnaround scope, optimising campaign and outage schedules, surfacing readiness gaps and continuously replanning.
• 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.
• Deep knowledge of shutdown, turnaround and major capital investment projects, and hands-on exposure to one or more of IFS's core industries.
• Proven ability to define and execute product strategy and to launch and scale products from concept to adoption.
• Exceptional communication, stakeholder management and prioritisation skills, with a data-informed decision-making mindset.
• AI-curious.

Required skills

• Hands-on experience in customer discovery, prototyping and solution validation.
• Desirable: familiarity with asset management standards (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 commercial responsibilities such as pricing or P&L ownership.

The company offers flexibility and hybrid work opportunities.