Senior Product Manager - Enterprise Asset Management & Agentic AI
About the role
The Senior Product Manager - Enterprise Asset Management & Agentic AI at IFS will be responsible for owning and driving products that maximize asset value, reliability, and uptime while reducing risk and total cost of ownership across the full asset lifecycle. The role involves setting product vision and strategy, leading customer discovery, embedding agentic AI into project-based work, and ensuring end-to-end product ownership from concept to launch and scale. The position requires deep knowledge of shutdowns, turnarounds, and major capital projects in asset-intensive industries, as well as proven experience in product management within SaaS or enterprise software environments. The successful candidate will work closely with cross-functional teams and serve customers in industries such as Energy, Utilities, Manufacturing, Construction, Aerospace & Defence, and Service Industries. IFS offers a flexible, inclusive, and innovative work environment with a global reach.
Must have
- Proven experience (6+ years) in Product Management within SaaS, platform, or enterprise software environments.
- Deep knowledge of shutdown, turnaround, major capital investment projects or similar activities in the context of EAM.
- Experienced and knowledgeable in the domain of Enterprise Asset Management, maintenance & reliability, or asset-intensive operations, with hands-on exposure to one or more of IFS's core industries (Aerospace & Defence, Energy/Utilities & Resources, Manufacturing, Construction & Engineering, Telecommunications, Service Industries).
- Demonstrated ability to define and execute product strategy, vision, and measurable outcomes.
- Hands-on experience in customer discovery, prototyping, and validating solutions.
- Proven track record of launching and scaling products from concept to adoption, delivering measurable customer value.
- Exceptional communication, stakeholder management, and prioritisation skills.
- Data-informed decision-making mindset, using analytics, experimentation, and evidence to guide direction.
- AI-curious.
Nice to have
- 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).
- Experience with developer platforms, application frameworks, data services, or AI/ML-enabled enterprise applications.
- Prior exposure to commercial responsibilities such as pricing, monetisation, or P&L ownership.
- Experience working in global, distributed organisations and partnering across geographies
Technologies
- Agentic AI
- IFS
- Machine Learning
- Prototyping
- SaaS
Highlights
IFS supports hybrid and flexible work arrangements to accommodate diverse needs and lifestyles. The company emphasizes an inclusive workplace, community, and global collaboration. No specific application deadline or visa requirements are mentioned.
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