Principal Product Manager - Enterprise Asset Management & Agentic AI
About the role
The Principal Product Manager for Enterprise Asset Management & Agentic AI at IFS will own 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 managing end-to-end product ownership from concept to launch and scale. The position requires deep insight into shutdowns, turnarounds, maintenance campaigns, and major capital builds, serving asset-intensive operators across key industries such as Energy, Utilities & Resources, Manufacturing, Construction & Engineering, Communication, Aerospace & Defence, and Service Industries. Candidates must have proven experience in product management within SaaS or enterprise software environments, strong domain knowledge in EAM, and a track record of launching and scaling products. IFS offers a global, diverse environment with a commitment to sustainability and flexibility, including hybrid work opportunities.
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 embraces flexibility and hybrid work arrangements to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. The company is committed to sustainability and offers opportunities to make a positive impact globally. Candidates will join a winning team in a global, diverse environment. Application details are not specified.
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