12 часов назад
Senior Product Manager (Enterprise Asset Management & Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (Enterprise Asset Management & Agentic AI): Owning SaaS products that maximise asset value, reliability, and uptime across capital projects, operations, maintenance, and turnarounds with an accent on measurable outcomes, customer discovery, and agentic AI. Focus on autonomously optimising project-based work, launching and scaling products, and aligning engineering, design, marketing, sales, and customer success around adoption and commercial impact.
Location: Staines-upon-Thames, England, United Kingdom; hybrid balance of remote and in-office working.
Company
develops enterprise software and AI-driven solutions for asset-intensive industries, supporting more than 10,000 customers worldwide.
What you will do
- Set product vision, roadmap, investment cases, and measurable outcomes for Enterprise Asset Management products.
- Lead discovery with maintenance, reliability, operations, turnaround, and capital-planning leaders.
- Embed agentic AI into shutdowns, turnarounds, outages, campaigns, and major capital projects.
- Own the product lifecycle from concept through launch, scale, adoption, and measurable customer value.
- Align Engineering, Design, Marketing, Sales, and Customer Success around product delivery and outcomes.
- Support differentiation, pricing, packaging, launches, customer presentations, and go-to-market activities.
Requirements
- 6+ years of Product Management experience in SaaS, platform, or enterprise software environments.
- Deep knowledge of shutdowns, turnarounds, major capital projects, or similar project-based EAM activities.
- Experience with Enterprise Asset Management, maintenance and reliability, or asset-intensive operations.
- Ability to define and execute product strategy, conduct customer discovery, prototype, and validate solutions.
- Track record of launching and scaling products, using analytics, experimentation, and evidence to guide decisions.
- Strong communication, stakeholder management, prioritisation, and cross-functional collaboration skills.
Nice to have
- Familiarity with ISO 55000, RCM, EHS/compliance, and asset data models such as work orders, asset hierarchies, and condition or IoT data.
- Experience with developer platforms, application frameworks, data services, or AI/ML-enabled enterprise applications.
- Exposure to pricing, monetisation, or P&L ownership.
- Experience working in global, distributed organisations across geographies.
Culture & Benefits
- Flexible hybrid working with a balance of remote and in-office collaboration.
- International, diverse, and inclusive working environment.
- Focus on sustainability, innovation, collaboration, and positive impact.
- Final candidates undergo a background check.
Hiring process
- Interviews and selections are conducted continuously.
- Final candidates complete a background check.
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