Product Manager, Smart Building Platform

Darum lohnt es sich

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.