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Product Manager Reliability(m/w/x)
Developing reliability strategy for semiconductor manufacturing equipment and SEM tools. 5+ years product/project management in semiconductor industry data analytics preferred. Access to internal online learning platform CurioZ.
Requirements
- Master's degree in Engineering, Computer Science, Data Science, or related field
- MBA or Ph.D. (advantageous)
- 5+ years in product or project management, preferably in data analytics for semiconductor industry
- Experience in software development
- Understanding of data analytics tools and semiconductor processes
- Excellent verbal and written communication skills
Tasks
- Contribute to strategic planning for the product roadmap
- Develop a comprehensive reliability strategy for SEM tools
- Ensure alignment with business goals
- Create reliability enhancements, experiments, and developments
- Prioritize backlog items by business value
- Maintain backlog items based on customer needs
- Communicate with R&D, Ops, Service, SBU Management
- Ensure transparency with stakeholders
- Gather customer feedback on reliability needs
- Collaborate with Product Architects
- Clarify reliability requirements
- Participate in plannings and reviews
- Assess completed work against acceptance criteria
- Monitor performance and reliability metrics
- Identify potential risks
- Develop improvement strategies
- Maintain documentation
- Prepare reports for stakeholders
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
Learning & Development
- Professional development opportunities
- Qualification programs
- Internal online learning platform CurioZ
- External training courses
Career Advancement
- Attractive career paths
Company Bike
- Company bicycle subsidy
Retirement Plans
- Competitive pension plan
Bonuses & Incentives
- Annual profit-sharing bonus
Informal Culture
- Flat hierarchies
Purpose-Driven Work
- Freedom and responsibility
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Product Manager Reliability(m/w/x)
Developing reliability strategy for semiconductor manufacturing equipment and SEM tools. 5+ years product/project management in semiconductor industry data analytics preferred. Access to internal online learning platform CurioZ.
Requirements
- Master's degree in Engineering, Computer Science, Data Science, or related field
- MBA or Ph.D. (advantageous)
- 5+ years in product or project management, preferably in data analytics for semiconductor industry
- Experience in software development
- Understanding of data analytics tools and semiconductor processes
- Excellent verbal and written communication skills
Tasks
- Contribute to strategic planning for the product roadmap
- Develop a comprehensive reliability strategy for SEM tools
- Ensure alignment with business goals
- Create reliability enhancements, experiments, and developments
- Prioritize backlog items by business value
- Maintain backlog items based on customer needs
- Communicate with R&D, Ops, Service, SBU Management
- Ensure transparency with stakeholders
- Gather customer feedback on reliability needs
- Collaborate with Product Architects
- Clarify reliability requirements
- Participate in plannings and reviews
- Assess completed work against acceptance criteria
- Monitor performance and reliability metrics
- Identify potential risks
- Develop improvement strategies
- Maintain documentation
- Prepare reports for stakeholders
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
Learning & Development
- Professional development opportunities
- Qualification programs
- Internal online learning platform CurioZ
- External training courses
Career Advancement
- Attractive career paths
Company Bike
- Company bicycle subsidy
Retirement Plans
- Competitive pension plan
Bonuses & Incentives
- Annual profit-sharing bonus
Informal Culture
- Flat hierarchies
Purpose-Driven Work
- Freedom and responsibility
About the Company
Carl Zeiss SMT GmbH
Industry
Manufacturing
Description
Das Unternehmen ist Technologieführer im Bereich Halbleiterfertigungs-Equipment und ermöglicht die Herstellung von leistungsfähigeren und energieeffizienteren Mikrochips.
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