Product Manager, Product Success (ALM-Maximo, MREF, Envizi)
IBM
Product Manager, Product Success (ALM-Maximo, MREF, Envizi)
Job Description
Product Manager, Product Success (ALM-Maximo, MREF, Envizi)
📋 Job Overview
The Product Manager, Product Success role at IBM involves leading the setup and maintenance of product demo systems, managing synthetic datasets, and supporting technical sales engagements. This position requires close collaboration with various teams to deliver scalable demo environments and act as a product evangelist in field engagements, ensuring the product's value is effectively demonstrated to potential clients.
📍 Location: Dublin, IE
💼 Career Level: Professional
🎯 Key Responsibilities
- Design, implement, and maintain scalable and reusable demo environments for internal teams and partners
- Collaborate with Engineering and DevOps to provision cloud-based infrastructure for product demonstrations
- Ensure demo systems are up to date with the latest product features and releases
- Create, curate, and manage synthetic datasets that mimic real-world scenarios for use in demos and sales engagements
- Collaborate with Product Marketing to align datasets with customer use cases and industry verticals
- Automate data generation processes where possible to ensure repeatability and scalability
- Support Sales Engineers, Account Executives, and Channel Partners in technical pre-sales activities
- Provide feedback from experience supporting the demo infrastructure to Product Management to inform roadmap and feature prioritization
- Understand demo scripts, presentations, and technical collateral tailored to industry-specific use cases
- Troubleshoot demo issues and provide rapid solutions during critical sales engagements
✅ Required Qualifications
- Few years of experience in Product Management, Sales Engineering, Technical Marketing, or a related technical role
- Strong understanding of Red Hat OpenShift, software systems, cloud infrastructure, and demo environments
- Experience with synthetic or anonymized data generation tools and methodologies
- Excellent communication and cross-functional collaboration skills
- Ability to translate technical concepts into customer-centric value propositions
⭐ Preferred Qualifications
- Familiarity with scripting or automation (e.g., Python, shell scripting, or CI/CD tools)
- Background / experience working within DevOps
- Experience in SaaS or enterprise software environments
- Technical understanding and experience deploying and upgrading Maximo Application Suite
- Industry work experience where Maximo was deployed and used
🛠️ Required Skills
- Red Hat OpenShift
- Cloud infrastructure
- Synthetic data generation tools
- Python
- Shell scripting
- CI/CD tools
- DevOps
- Maximo Application Suite
- Communication
- Cross-functional collaboration
- Technical concepts translation
🎁 Benefits & Perks
- Opportunity to learn and develop oneself and career
- Encouragement to be courageous and experiment every day
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate with colleagues and drive exceptional outcomes for customers
- Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by law
- Commitment to compliance with fair employment practices regarding citizenship and immigration status
Locations
- Dublin, IE, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Red Hat OpenShiftintermediate
- Cloud infrastructureintermediate
- Synthetic data generation toolsintermediate
- Pythonintermediate
- Shell scriptingintermediate
- CI/CD toolsintermediate
- DevOpsintermediate
- Maximo Application Suiteintermediate
- Communicationintermediate
- Cross-functional collaborationintermediate
- Technical concepts translationintermediate
Required Qualifications
- Few years of experience in Product Management, Sales Engineering, Technical Marketing, or a related technical role (experience)
- Strong understanding of Red Hat OpenShift, software systems, cloud infrastructure, and demo environments (experience)
- Experience with synthetic or anonymized data generation tools and methodologies (experience)
- Excellent communication and cross-functional collaboration skills (experience)
- Ability to translate technical concepts into customer-centric value propositions (experience)
Preferred Qualifications
- Familiarity with scripting or automation (e.g., Python, shell scripting, or CI/CD tools) (experience)
- Background / experience working within DevOps (experience)
- Experience in SaaS or enterprise software environments (experience)
- Technical understanding and experience deploying and upgrading Maximo Application Suite (experience)
- Industry work experience where Maximo was deployed and used (experience)
Responsibilities
- Design, implement, and maintain scalable and reusable demo environments for internal teams and partners
- Collaborate with Engineering and DevOps to provision cloud-based infrastructure for product demonstrations
- Ensure demo systems are up to date with the latest product features and releases
- Create, curate, and manage synthetic datasets that mimic real-world scenarios for use in demos and sales engagements
- Collaborate with Product Marketing to align datasets with customer use cases and industry verticals
- Automate data generation processes where possible to ensure repeatability and scalability
- Support Sales Engineers, Account Executives, and Channel Partners in technical pre-sales activities
- Provide feedback from experience supporting the demo infrastructure to Product Management to inform roadmap and feature prioritization
- Understand demo scripts, presentations, and technical collateral tailored to industry-specific use cases
- Troubleshoot demo issues and provide rapid solutions during critical sales engagements
Benefits
- general: Opportunity to learn and develop oneself and career
- general: Encouragement to be courageous and experiment every day
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate with colleagues and drive exceptional outcomes for customers
- general: Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by law
- general: Commitment to compliance with fair employment practices regarding citizenship and immigration status
Tags & Categories
Answer 10 quick questions to check your fit for Product Manager, Product Success (ALM-Maximo, MREF, Envizi) @ IBM.
10 Questions
~2 Minutes
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Related Books and Jobs
Product Manager, Product Success (ALM-Maximo, MREF, Envizi)
IBM
Product Manager, Product Success (ALM-Maximo, MREF, Envizi)
Job Description
Product Manager, Product Success (ALM-Maximo, MREF, Envizi)
📋 Job Overview
The Product Manager, Product Success role at IBM involves leading the setup and maintenance of product demo systems, managing synthetic datasets, and supporting technical sales engagements. This position requires close collaboration with various teams to deliver scalable demo environments and act as a product evangelist in field engagements, ensuring the product's value is effectively demonstrated to potential clients.
📍 Location: Dublin, IE
💼 Career Level: Professional
🎯 Key Responsibilities
- Design, implement, and maintain scalable and reusable demo environments for internal teams and partners
- Collaborate with Engineering and DevOps to provision cloud-based infrastructure for product demonstrations
- Ensure demo systems are up to date with the latest product features and releases
- Create, curate, and manage synthetic datasets that mimic real-world scenarios for use in demos and sales engagements
- Collaborate with Product Marketing to align datasets with customer use cases and industry verticals
- Automate data generation processes where possible to ensure repeatability and scalability
- Support Sales Engineers, Account Executives, and Channel Partners in technical pre-sales activities
- Provide feedback from experience supporting the demo infrastructure to Product Management to inform roadmap and feature prioritization
- Understand demo scripts, presentations, and technical collateral tailored to industry-specific use cases
- Troubleshoot demo issues and provide rapid solutions during critical sales engagements
✅ Required Qualifications
- Few years of experience in Product Management, Sales Engineering, Technical Marketing, or a related technical role
- Strong understanding of Red Hat OpenShift, software systems, cloud infrastructure, and demo environments
- Experience with synthetic or anonymized data generation tools and methodologies
- Excellent communication and cross-functional collaboration skills
- Ability to translate technical concepts into customer-centric value propositions
⭐ Preferred Qualifications
- Familiarity with scripting or automation (e.g., Python, shell scripting, or CI/CD tools)
- Background / experience working within DevOps
- Experience in SaaS or enterprise software environments
- Technical understanding and experience deploying and upgrading Maximo Application Suite
- Industry work experience where Maximo was deployed and used
🛠️ Required Skills
- Red Hat OpenShift
- Cloud infrastructure
- Synthetic data generation tools
- Python
- Shell scripting
- CI/CD tools
- DevOps
- Maximo Application Suite
- Communication
- Cross-functional collaboration
- Technical concepts translation
🎁 Benefits & Perks
- Opportunity to learn and develop oneself and career
- Encouragement to be courageous and experiment every day
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate with colleagues and drive exceptional outcomes for customers
- Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by law
- Commitment to compliance with fair employment practices regarding citizenship and immigration status
Locations
- Dublin, IE, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Red Hat OpenShiftintermediate
- Cloud infrastructureintermediate
- Synthetic data generation toolsintermediate
- Pythonintermediate
- Shell scriptingintermediate
- CI/CD toolsintermediate
- DevOpsintermediate
- Maximo Application Suiteintermediate
- Communicationintermediate
- Cross-functional collaborationintermediate
- Technical concepts translationintermediate
Required Qualifications
- Few years of experience in Product Management, Sales Engineering, Technical Marketing, or a related technical role (experience)
- Strong understanding of Red Hat OpenShift, software systems, cloud infrastructure, and demo environments (experience)
- Experience with synthetic or anonymized data generation tools and methodologies (experience)
- Excellent communication and cross-functional collaboration skills (experience)
- Ability to translate technical concepts into customer-centric value propositions (experience)
Preferred Qualifications
- Familiarity with scripting or automation (e.g., Python, shell scripting, or CI/CD tools) (experience)
- Background / experience working within DevOps (experience)
- Experience in SaaS or enterprise software environments (experience)
- Technical understanding and experience deploying and upgrading Maximo Application Suite (experience)
- Industry work experience where Maximo was deployed and used (experience)
Responsibilities
- Design, implement, and maintain scalable and reusable demo environments for internal teams and partners
- Collaborate with Engineering and DevOps to provision cloud-based infrastructure for product demonstrations
- Ensure demo systems are up to date with the latest product features and releases
- Create, curate, and manage synthetic datasets that mimic real-world scenarios for use in demos and sales engagements
- Collaborate with Product Marketing to align datasets with customer use cases and industry verticals
- Automate data generation processes where possible to ensure repeatability and scalability
- Support Sales Engineers, Account Executives, and Channel Partners in technical pre-sales activities
- Provide feedback from experience supporting the demo infrastructure to Product Management to inform roadmap and feature prioritization
- Understand demo scripts, presentations, and technical collateral tailored to industry-specific use cases
- Troubleshoot demo issues and provide rapid solutions during critical sales engagements
Benefits
- general: Opportunity to learn and develop oneself and career
- general: Encouragement to be courageous and experiment every day
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate with colleagues and drive exceptional outcomes for customers
- general: Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by law
- general: Commitment to compliance with fair employment practices regarding citizenship and immigration status
Tags & Categories
Answer 10 quick questions to check your fit for Product Manager, Product Success (ALM-Maximo, MREF, Envizi) @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs