Senior Product Manager – IFS Copperleaf, AIP, EAM

Job Description:

• Define and execute AI-driven product strategies that support infrastructure planning, capital investment optimization, and asset lifecycle management using predictive modeling and prescriptive analytics.
• Lead cross-functional teams through the full product development lifecycle, from discovery and design to delivery and iteration, leveraging AI to accelerate innovation and improve decision-making.
• Translate complex customer needs into scalable, intuitive features powered by AI/ML, with a focus on Asset Investment Planning (AIP), Enterprise Asset Management (EAM), and intelligent decision support tools.
• Collaborate with engineering, data science, and UX to deliver AI-enhanced, user-centric solutions that improve operational efficiency and asset performance.
• Analyze product performance using AI-driven insights, monitor market trends, and incorporate predictive analytics to inform roadmap decisions.
• Serve as a domain expert in AI-enabled asset investment planning, engaging with clients and industry stakeholders to validate product direction and demonstrate the value of intelligent automation.

Requirements:

• 5+ years of experience in product management, with a strong background in enterprise software and AI-powered solutions for AIP, EAM, or infrastructure planning.
• Proven ability to lead AI-centric product initiatives in fast-paced, agile environments.
• Deep understanding of asset lifecycle modeling, risk-based planning, and capital prioritization frameworks, with experience applying AI/ML techniques to these domains.
• Experience working with clients in sectors such as utilities, transportation, municipalities, or infrastructure, ideally with exposure to AI-driven transformation projects.
• Strong analytical, communication, and stakeholder management skills, with the ability to translate AI capabilities into business value.
• Familiarity with tools and platforms used in asset-intensive industries (e.g., GIS, ERP, AIP systems), and knowledge of AI frameworks, predictive analytics, and data platforms is a plus.

Benefits:

• Flexible paid time off, including sick and holiday
• Medical, dental, & vision insurance
• 401K with Company contribution
• Flexible spending accounts
• Life insurance and disability benefits
• Tuition assistance
• Community involvement and volunteering events

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