Siemens Schweiz AG
Portfolio Product Lead(m/w/x)
Full-timeWith HomeofficeSenior
Zug
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SISiemens Schweiz AG
Product Owner(m/w/x)
Zug, Wien
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Translating AI business features into user stories for building automation systems. 5+ years Product Owner experience required. Mobility allowance, employee share programs.
Requirements
- Bachelor's degree in computer science, engineering, or related field
- HVAC or mechanical engineering background is a plus
- 5+ years as Product Owner or Product Manager
- Strong understanding of building-industry domain (automation/BMS/HVAC/energy systems/facility management/industrial IoT) is a plus
- Experienced building automation engineers transitioning into product roles considered
- Experience deploying AI at scale in production
- Understanding AI model limitations (bias, drift, data sparsity)
- Understanding key AI performance metrics (accuracy, precision, recall, RMSE)
- Basic knowledge of cloud platforms
- AWS knowledge is a clear advantage
- Familiarity with data pipelines
- Familiarity with event streams
- Familiarity with production data workflows
- Understanding of building and IoT protocols (BACnet, Modbus, MQTT, OPC-UA)
- Strong interpersonal skills
- Adaptive skills
- Empathy
- Curiosity
- Clear communication skills
- Conflict resolution skills
- Ability to adapt quickly in uncertain situations
- Ability to continuously refine solution
- Legal eligibility to work in the respective country
Tasks
- Break down complex AI business features into clear user stories
- Define acceptance criteria for user stories
- Coordinate backlog refinement with architects, data scientists, and engineering teams
- Evaluate existing internal and external technologies hands-on
- Advise development teams on technology choices
- Understand the data pipeline based on business requirements
- Influence the data pipeline based on business requirements
- Act as the interface between data science/ML engineering and other teams
- Act as the interface between software engineering and other teams
- Act as the interface between UX/UI and other teams
- Act as the interface between domain experts and other teams
- Act as the interface between Product Management and other teams
- Adjust communication style for technical audiences
- Adjust communication style for non-technical audiences
- Define how product performance KPIs should be tracked
- Define how product performance KPIs should be implemented
- Continuously assess development performance
- Implement corrective actions for development performance
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- AWS
- BACnet
- Modbus
- MQTT
- OPC-UA
Benefits
Additional Allowances
- Mobility allowance
Learning & Development
- Varied further training opportunities
Competitive Pay
- Employee share programs
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Siemens Schweiz AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SISiemens Schweiz AG
Product Owner(m/w/x)
Zug, Wien
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Translating AI business features into user stories for building automation systems. 5+ years Product Owner experience required. Mobility allowance, employee share programs.
Requirements
- Bachelor's degree in computer science, engineering, or related field
- HVAC or mechanical engineering background is a plus
- 5+ years as Product Owner or Product Manager
- Strong understanding of building-industry domain (automation/BMS/HVAC/energy systems/facility management/industrial IoT) is a plus
- Experienced building automation engineers transitioning into product roles considered
- Experience deploying AI at scale in production
- Understanding AI model limitations (bias, drift, data sparsity)
- Understanding key AI performance metrics (accuracy, precision, recall, RMSE)
- Basic knowledge of cloud platforms
- AWS knowledge is a clear advantage
- Familiarity with data pipelines
- Familiarity with event streams
- Familiarity with production data workflows
- Understanding of building and IoT protocols (BACnet, Modbus, MQTT, OPC-UA)
- Strong interpersonal skills
- Adaptive skills
- Empathy
- Curiosity
- Clear communication skills
- Conflict resolution skills
- Ability to adapt quickly in uncertain situations
- Ability to continuously refine solution
- Legal eligibility to work in the respective country
Tasks
- Break down complex AI business features into clear user stories
- Define acceptance criteria for user stories
- Coordinate backlog refinement with architects, data scientists, and engineering teams
- Evaluate existing internal and external technologies hands-on
- Advise development teams on technology choices
- Understand the data pipeline based on business requirements
- Influence the data pipeline based on business requirements
- Act as the interface between data science/ML engineering and other teams
- Act as the interface between software engineering and other teams
- Act as the interface between UX/UI and other teams
- Act as the interface between domain experts and other teams
- Act as the interface between Product Management and other teams
- Adjust communication style for technical audiences
- Adjust communication style for non-technical audiences
- Define how product performance KPIs should be tracked
- Define how product performance KPIs should be implemented
- Continuously assess development performance
- Implement corrective actions for development performance
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- AWS
- BACnet
- Modbus
- MQTT
- OPC-UA
Benefits
Additional Allowances
- Mobility allowance
Learning & Development
- Varied further training opportunities
Competitive Pay
- Employee share programs
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Siemens Schweiz AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Siemens Schweiz AG
Industry
Engineering
Description
Das Unternehmen ist in den Bereichen Energie, Industrie, Mobilität und Gebäudetechnik tätig und setzt sich für eine nachhaltigere Schweiz ein.
Not a perfect match?
- Siemens Schweiz AG
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Lead Competence Center Critical Environment and GMP(m/w/x)
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Global BMS Lead Engineer(m/w/x)
Full-timeWith HomeofficeSeniorZug