Product Manager, Smart Building Platform

Responsibilities

• Owning and prioritizing the Smart Building Platform roadmap, translating stakeholder input and discovery findings into a clear product direction that engineering can execute against
• Running discovery sessions with facilities teams, implementation leads, and enterprise clients to surface workflow pain and validate product direction
• Writing integration specs for BMS, IoT, and CMMS connections, with enough technical depth to lead the engineering conversation
• Building AI prototypes in collaboration with engineering — using LLM tooling and MCP integrations to validate use cases before committing to a full build
• Using AI tools fluently in your daily workflow: generating first drafts of PRDs, synthesizing research, producing competitive analyses, and accelerating design collaboration
• Defining KPIs and success metrics for every initiative, and communicating outcomes clearly to product leadership and client stakeholders
• Acting as the connective tissue between building operations teams, IoT/BMS engineering, and the data and AI platform organization

Requirements

• 4+ years of experience as a Product Manager with a track record of shipping products used by real customers
• Demonstrated experience using AI tools (Claude, ChatGPT, Copilot, or similar) in a professional product context — not familiarity, but active, habitual use that improves output quality and velocity
• Experience owning product roadmaps from ideation through launch, including design collaboration and engineering handoff
• Technical fluency across data models, integration architecture, and REST APIs — able to write integration specs and lead technical conversations without needing an engineer in the room
• Comfortable working in an Agile/SCRUM environment, including sprint planning, backlog grooming, and release management
• Strong written communication skills: clear, precise requirements documents; crisp executive updates; and the ability to translate technical concepts for non-technical audiences
• Data-driven mindset with demonstrated ability to define KPIs, interpret usage analytics, and translate findings into product decisions

Core Competencies

Demonstrates expertise in product management with a focus on AI tools, integration architecture, and data-driven decision-making. Capable of leading cross-functional teams and translating complex technical concepts for diverse stakeholders.