Entry Level Product Manager: 2026
IBM
Entry Level Product Manager: 2026
Job Description
Entry Level Product Manager: 2026
📋 Job Overview
The Entry Level Product Manager at IBM will drive the strategy for AI and data-centric offerings, collaborating with cross-functional teams to deliver innovative AI-powered solutions. The role involves translating technical capabilities into product requirements, prioritizing backlogs, and ensuring ethical AI practices. This position is ideal for those passionate about leveraging AI to solve complex business challenges within a structured product lifecycle management process.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs
- Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models
- Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories
- Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs
- Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development
- Monitor product performance using analytics tools and user feedback to iterate and improve continuously
- Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers
- Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions
✅ Required Qualifications
- Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution
- Understanding of AI/ML concepts, data lifecycle, and model deployment practices
- Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery
- Proficiency in product analytics tools and data visualization platforms
- Strong communication and storytelling skills to translate technical insights into business value
- Ability to manage dependencies across teams and anticipate risks in product delivery
⭐ Preferred Qualifications
- Experience with enterprise AI products or platforms
- Exposure to AI ethics frameworks and responsible AI practices
- Comfortable working with global teams across time zones and cultures
🛠️ Required Skills
- Artificial Intelligence
- Machine Learning
- Data Analytics
- Agile Methodologies
- Data-Informed Decision-Making
- Cross-Functional Collaboration
- Product Strategy
- User Needs Analysis
- Data Science
- Engineering
- Design
- Go-to-Market Strategy
- ML Models
- Data Pipelines
- APIs
- Product Backlog Management
- KPIs
- Ethical AI
- Analytics Tools
- User Feedback
- Stakeholder Communication
- User Experience
- Usability
- Roadmap Planning
- Backlog Grooming
- Stakeholder Alignment
- Data Lifecycle
- Model Deployment
- Sprint Planning
- Retrospectives
- Iterative Delivery
- Product Analytics
- Data Visualization
- Storytelling
- Dependency Management
- Risk Anticipation
🎁 Benefits & Perks
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long-term disability coverage, and opportunities for performance-based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
1,200,000 - 1,800,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Artificial Intelligenceintermediate
- Machine Learningintermediate
- Data Analyticsintermediate
- Agile Methodologiesintermediate
- Data-Informed Decision-Makingintermediate
- Cross-Functional Collaborationintermediate
- Product Strategyintermediate
- User Needs Analysisintermediate
- Data Scienceintermediate
- Engineeringintermediate
- Designintermediate
- Go-to-Market Strategyintermediate
- ML Modelsintermediate
- Data Pipelinesintermediate
- APIsintermediate
- Product Backlog Managementintermediate
- KPIsintermediate
- Ethical AIintermediate
- Analytics Toolsintermediate
- User Feedbackintermediate
- Stakeholder Communicationintermediate
- User Experienceintermediate
- Usabilityintermediate
- Roadmap Planningintermediate
- Backlog Groomingintermediate
- Stakeholder Alignmentintermediate
- Data Lifecycleintermediate
- Model Deploymentintermediate
- Sprint Planningintermediate
- Retrospectivesintermediate
- Iterative Deliveryintermediate
- Product Analyticsintermediate
- Data Visualizationintermediate
- Storytellingintermediate
- Dependency Managementintermediate
- Risk Anticipationintermediate
Required Qualifications
- Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution (experience)
- Understanding of AI/ML concepts, data lifecycle, and model deployment practices (experience)
- Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery (experience)
- Proficiency in product analytics tools and data visualization platforms (experience)
- Strong communication and storytelling skills to translate technical insights into business value (experience)
- Ability to manage dependencies across teams and anticipate risks in product delivery (experience)
Preferred Qualifications
- Experience with enterprise AI products or platforms (experience)
- Exposure to AI ethics frameworks and responsible AI practices (experience)
- Comfortable working with global teams across time zones and cultures (experience)
Responsibilities
- Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs
- Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models
- Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories
- Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs
- Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development
- Monitor product performance using analytics tools and user feedback to iterate and improve continuously
- Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers
- Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions
Benefits
- general: Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- general: Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long-term disability coverage, and opportunities for performance-based salary incentive programs
- general: Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs
- general: Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- general: Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
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Entry Level Product Manager: 2026
IBM
Entry Level Product Manager: 2026
Job Description
Entry Level Product Manager: 2026
📋 Job Overview
The Entry Level Product Manager at IBM will drive the strategy for AI and data-centric offerings, collaborating with cross-functional teams to deliver innovative AI-powered solutions. The role involves translating technical capabilities into product requirements, prioritizing backlogs, and ensuring ethical AI practices. This position is ideal for those passionate about leveraging AI to solve complex business challenges within a structured product lifecycle management process.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs
- Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models
- Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories
- Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs
- Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development
- Monitor product performance using analytics tools and user feedback to iterate and improve continuously
- Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers
- Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions
✅ Required Qualifications
- Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution
- Understanding of AI/ML concepts, data lifecycle, and model deployment practices
- Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery
- Proficiency in product analytics tools and data visualization platforms
- Strong communication and storytelling skills to translate technical insights into business value
- Ability to manage dependencies across teams and anticipate risks in product delivery
⭐ Preferred Qualifications
- Experience with enterprise AI products or platforms
- Exposure to AI ethics frameworks and responsible AI practices
- Comfortable working with global teams across time zones and cultures
🛠️ Required Skills
- Artificial Intelligence
- Machine Learning
- Data Analytics
- Agile Methodologies
- Data-Informed Decision-Making
- Cross-Functional Collaboration
- Product Strategy
- User Needs Analysis
- Data Science
- Engineering
- Design
- Go-to-Market Strategy
- ML Models
- Data Pipelines
- APIs
- Product Backlog Management
- KPIs
- Ethical AI
- Analytics Tools
- User Feedback
- Stakeholder Communication
- User Experience
- Usability
- Roadmap Planning
- Backlog Grooming
- Stakeholder Alignment
- Data Lifecycle
- Model Deployment
- Sprint Planning
- Retrospectives
- Iterative Delivery
- Product Analytics
- Data Visualization
- Storytelling
- Dependency Management
- Risk Anticipation
🎁 Benefits & Perks
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long-term disability coverage, and opportunities for performance-based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
1,200,000 - 1,800,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Artificial Intelligenceintermediate
- Machine Learningintermediate
- Data Analyticsintermediate
- Agile Methodologiesintermediate
- Data-Informed Decision-Makingintermediate
- Cross-Functional Collaborationintermediate
- Product Strategyintermediate
- User Needs Analysisintermediate
- Data Scienceintermediate
- Engineeringintermediate
- Designintermediate
- Go-to-Market Strategyintermediate
- ML Modelsintermediate
- Data Pipelinesintermediate
- APIsintermediate
- Product Backlog Managementintermediate
- KPIsintermediate
- Ethical AIintermediate
- Analytics Toolsintermediate
- User Feedbackintermediate
- Stakeholder Communicationintermediate
- User Experienceintermediate
- Usabilityintermediate
- Roadmap Planningintermediate
- Backlog Groomingintermediate
- Stakeholder Alignmentintermediate
- Data Lifecycleintermediate
- Model Deploymentintermediate
- Sprint Planningintermediate
- Retrospectivesintermediate
- Iterative Deliveryintermediate
- Product Analyticsintermediate
- Data Visualizationintermediate
- Storytellingintermediate
- Dependency Managementintermediate
- Risk Anticipationintermediate
Required Qualifications
- Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution (experience)
- Understanding of AI/ML concepts, data lifecycle, and model deployment practices (experience)
- Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery (experience)
- Proficiency in product analytics tools and data visualization platforms (experience)
- Strong communication and storytelling skills to translate technical insights into business value (experience)
- Ability to manage dependencies across teams and anticipate risks in product delivery (experience)
Preferred Qualifications
- Experience with enterprise AI products or platforms (experience)
- Exposure to AI ethics frameworks and responsible AI practices (experience)
- Comfortable working with global teams across time zones and cultures (experience)
Responsibilities
- Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs
- Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models
- Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories
- Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs
- Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development
- Monitor product performance using analytics tools and user feedback to iterate and improve continuously
- Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers
- Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions
Benefits
- general: Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- general: Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long-term disability coverage, and opportunities for performance-based salary incentive programs
- general: Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs
- general: Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- general: Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
Tags & Categories
Answer 10 quick questions to check your fit for Entry Level Product Manager: 2026 @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs