Product Manager – Property management and Maintenance Platform ::: Arlington, Virginia – Hybrid

Property management Product Manager – Maintenance Platform

Duration: 6-12 Months Contract

Location: Arlington, Virginia – Hybrid Prefer/ Remote may be (Need from EST time zone)

Over all 13+ years

Role Summary
We are seeking a Product Manager to lead the development and scaling of our Maintenance Platform. This role will drive product strategy, execution, and cross-functional alignment to improve maintenance operations, resident experience, and operational efficiency across communities.

Key Responsibilities

• Define and execute the product roadmap for the maintenance platform, including work order management, inspections, preventive maintenance, and resident communication
• Partner 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
• Optimize workflows across key areas such as scheduling, technician productivity, and automated resident engagement
• Drive integration strategy (e.g., PMS, CRM, middleware) to ensure seamless data flow and system interoperability
• Leverage data and user feedback to continuously improve product performance and adoption
• Support pilot programs and scale successful solutions across the portfolio

AI / Data Expectations

• Identify opportunities to leverage AI to automate workflows (e.g., work order intake, routing, 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

Qualifications

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