Product Manager – Maintenance Platform

TMS LLC is seeking a Product Manager to lead the development and scaling of the Maintenance Platform across communities, guiding strategy, execution, and cross-functional alignment to improve maintenance operations, resident experience, and operational efficiency.

Responsibilities

• Define and execute the product roadmap for the maintenance platform, including work order management, inspections, preventive maintenance, and resident communication.
• Collaborate with Operations, Engineering, and external vendors to translate business needs into scalable product solutions.
• Own end-to-end delivery from requirements and prioritization through launch and iteration.
• Streamline workflows across scheduling, technician productivity, and automated resident engagement.
• Lead the integration strategy to ensure seamless data flow and interoperability with systems such as PMS, CRM, and middleware.
• Leverage data and user feedback to continuously improve product performance and adoption.
• Support pilot programs and scale successful solutions across the portfolio.

Requirements

• 5+ years of product management experience, preferably in B2B SaaS, operations, or platform products.
• Experience building workflow-based products such as work order systems, CRM, or operations platforms.
• Familiarity with AI/ML-driven products or automation tools; hands-on experience is not required, but strong product sense is expected.
• Strong stakeholder management and cross-functional leadership skills.
• Analytical mindset with experience using data to inform product decisions.

Technologies

• PMS
• CRM
• Middleware

AI / DATA EXPECTATIONS

• Identify opportunities to leverage AI to automate workflows, including work order intake, routing, and communication.
• Partner with engineering on AI-enabled features such as recommendation engines, automation, and workflow optimization.
• Define success metrics and evaluate AI performance (accuracy, efficiency, user adoption).
• Ensure responsible AI usage, including data quality, transparency, and operational reliability.