Product Manager, Smart Building Platform

Jobtailor; Deutschland; Vor Ort; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor in Germany is seeking an experienced Product Manager to own and prioritize the Smart Building Platform roadmap, translating stakeholder input into a clear strategy for engineering delivery.

You will run discovery with facilities teams and enterprise clients, write integration specs for BMS and IoT, and collaborate with AI initiatives, KPI definition, and cross-functional leadership to drive outcomes.

Qualifikationen

• 4+ years of product management experience shipping customer-facing products.
• Active, habitual use of AI tools (Claude, ChatGPT, Copilot) in a professional context.
• Experience owning product roadmaps from ideation through launch with design collaboration and engineering handoff.
• Technical fluency with data models, integration architecture, and REST APIs; can lead technical conversations.
• Experience working in Agile/SCRUM environments with sprint planning, backlog grooming, and releases.
• Strong written communication and ability to translate technical concepts for non-technical audiences.
• Data-driven mindset with ability to define KPIs, interpret usage analytics, and translate findings into product decisions.

Aufgaben

• 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

Jobbeschreibung

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.