Senior / Principal Product Manager - Enterprise Asset Management & Agentic AI

Asset-intensive industry is entering an era that is AI-enabled, data-driven, autonomous, and increasingly intelligent. This role sits at the centre of that transformation. As a Product Manager for Enterprise Asset Management, you will define and drive products that maximise asset value, reliability, and uptime, reduce risk and total cost of ownership, and deliver measurable business impact for industrial customers across the full asset lifecycle — from acquisition and operation through maintenance, refurbishment, and decommissioning. You will own the end-to-end product lifecycle, from discovery to adoption to scale, acting as the strategic bridge between customer needs, engineering execution, and commercial outcomes. Your products serve asset-intensive operators across IFS's key industries — Aerospace & Defence, Energy, Utilities & Resources, Manufacturing, Construction & Engineering, Telecommunications, and Service Industries — where assets are mission-critical, regulated, and capital-intensive. Leading with a start-up mindset, you will set vision and direction, validate with customers and industry stakeholders, prioritise ruthlessly, and deliver scalable solutions aligned with IFS's AI-first strategy. Core Responsibilities Product Strategy & Vision Define and execute a clear product vision and roadmap aligned with company strategy and measurable customer outcomes (asset availability, reliability, maintenance cost, safety, and compliance). Identify high-impact opportunities through market, customer, competitive, and industry analysis across the asset-intensive sectors IFS serves. Build strong investment cases focused on value creation, adoption, scalability, and differentiation. Drive growth across core and AI revenue streams. Align strategy across related products and components within the Asset Lifecycle Management portfolio (e.g., maintenance management, asset performance, asset investment planning, EHS). Customer Insight & Discovery Lead end-to-end discovery with Research and Design. Engage directly with maintenance, reliability, operations, and capital-planning leaders to understand workflows, operational challenges, and desired outcomes. Co-create and validate solutions with customers across multiple industries and asset classes. Establish continuous feedback loops from discovery through to adoption. Use qualitative and quantitative insights to refine direction and ensure ROI. Ruthlessly prioritise based on measurable value. AI-Driven Innovation & Prototyping Leverage AI/ML, IoT, and automation to enhance operational decision-making — predictive and prescriptive maintenance, anomaly detection, condition-based monitoring, and asset risk and investment optimisation. Lead functional prototyping and early validation to ensure feasibility and market fit. Champion an AI-first mindset across Product, Design, and Engineering, ensuring AI is applied intentionally where it creates meaningful customer and commercial value. Identify high-impact opportunities to embed AI into asset workflows, decision support, automation, and user experiences — not as a feature add-on, but as a core capability. End-to-End Ownership & Execution Own the lifecycle from concept through launch and scale. Bridge functional, technical, and commercial requirements to ensure smooth transition from prototype to adopted product. Clarify priorities, remove blockers, and drive measurable progress toward customer outcomes. Maintain transparency and alignment across Engineering, Design, Product Marketing, Support, Sales, Go-to-Market, and Customer Success. Balance competing priorities while contributing to commercial performance and product P&L considerations. Commercial Impact & Go-to-Market Define and communicate clear product differentiation and value proposition for asset-intensive buyers. Contribute to pricing and packaging strategy to maximise growth and market impact. Work with Product Marketing and GTM teams to ensure successful launches and strong market positioning across target industries. Personally support customer and partner presentations to drive credibility and adoption. Own adoption as a core metric, ensuring delivered capabilities are intuitive, usable, and deliver real operational impact. Essential Proven experience (6+ years) in Product Management within SaaS, platform, or enterprise software environments. 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. 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). 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