Entry Level Product Manager Poughkeepsie NY 2026
IBM
Entry Level Product Manager Poughkeepsie NY 2026
Job Description
Entry Level Product Manager Poughkeepsie NY 2026
📋 Job Overview
The Entry Level Product Manager at IBM in Poughkeepsie, NY, plays a crucial role in developing AI and data-centric products. This position involves collaborating with cross-functional teams to deliver innovative solutions, aligning product strategy with business goals, and ensuring ethical AI practices. The role requires strong product management skills and an understanding of AI/ML technologies.
📍 Location: POUGHKEEPSIE, US (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
- Product management
- Roadmap planning
- Backlog grooming
- Stakeholder alignment
- Go-to-market execution
- AI/ML concepts
- Data lifecycle
- Model deployment
- Agile methodologies
- Sprint planning
- Retrospectives
- Iterative delivery
- Product analytics tools
- Data visualization platforms
- Communication
- Storytelling
- Dependency management
- Risk anticipation
- Collaboration
- Data-driven frameworks
- Ethical AI practices
- Fairness
- Transparency
- Compliance
- Analytics tools
- User feedback
- User experience
- Usability
- AI interfaces
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Collaboration with colleagues for team-focused outcomes
- Equal-opportunity employment
- Commitment to fair employment practices
Locations
- POUGHKEEPSIE, US, India (Remote)
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Product managementintermediate
- Roadmap planningintermediate
- Backlog groomingintermediate
- Stakeholder alignmentintermediate
- Go-to-market executionintermediate
- AI/ML conceptsintermediate
- Data lifecycleintermediate
- Model deploymentintermediate
- Agile methodologiesintermediate
- Sprint planningintermediate
- Retrospectivesintermediate
- Iterative deliveryintermediate
- Product analytics toolsintermediate
- Data visualization platformsintermediate
- Communicationintermediate
- Storytellingintermediate
- Dependency managementintermediate
- Risk anticipationintermediate
- Collaborationintermediate
- Data-driven frameworksintermediate
- Ethical AI practicesintermediate
- Fairnessintermediate
- Transparencyintermediate
- Complianceintermediate
- Analytics toolsintermediate
- User feedbackintermediate
- User experienceintermediate
- Usabilityintermediate
- AI interfacesintermediate
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: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaboration with colleagues for team-focused outcomes
- general: Equal-opportunity employment
- general: Commitment to fair employment practices
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Answer 10 quick questions to check your fit for Entry Level Product Manager Poughkeepsie NY 2026 @ IBM.
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Entry Level Product Manager Poughkeepsie NY 2026
IBM
Entry Level Product Manager Poughkeepsie NY 2026
Job Description
Entry Level Product Manager Poughkeepsie NY 2026
📋 Job Overview
The Entry Level Product Manager at IBM in Poughkeepsie, NY, plays a crucial role in developing AI and data-centric products. This position involves collaborating with cross-functional teams to deliver innovative solutions, aligning product strategy with business goals, and ensuring ethical AI practices. The role requires strong product management skills and an understanding of AI/ML technologies.
📍 Location: POUGHKEEPSIE, US (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
- Product management
- Roadmap planning
- Backlog grooming
- Stakeholder alignment
- Go-to-market execution
- AI/ML concepts
- Data lifecycle
- Model deployment
- Agile methodologies
- Sprint planning
- Retrospectives
- Iterative delivery
- Product analytics tools
- Data visualization platforms
- Communication
- Storytelling
- Dependency management
- Risk anticipation
- Collaboration
- Data-driven frameworks
- Ethical AI practices
- Fairness
- Transparency
- Compliance
- Analytics tools
- User feedback
- User experience
- Usability
- AI interfaces
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Collaboration with colleagues for team-focused outcomes
- Equal-opportunity employment
- Commitment to fair employment practices
Locations
- POUGHKEEPSIE, US, India (Remote)
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Product managementintermediate
- Roadmap planningintermediate
- Backlog groomingintermediate
- Stakeholder alignmentintermediate
- Go-to-market executionintermediate
- AI/ML conceptsintermediate
- Data lifecycleintermediate
- Model deploymentintermediate
- Agile methodologiesintermediate
- Sprint planningintermediate
- Retrospectivesintermediate
- Iterative deliveryintermediate
- Product analytics toolsintermediate
- Data visualization platformsintermediate
- Communicationintermediate
- Storytellingintermediate
- Dependency managementintermediate
- Risk anticipationintermediate
- Collaborationintermediate
- Data-driven frameworksintermediate
- Ethical AI practicesintermediate
- Fairnessintermediate
- Transparencyintermediate
- Complianceintermediate
- Analytics toolsintermediate
- User feedbackintermediate
- User experienceintermediate
- Usabilityintermediate
- AI interfacesintermediate
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: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaboration with colleagues for team-focused outcomes
- general: Equal-opportunity employment
- general: Commitment to fair employment practices
Tags & Categories
Answer 10 quick questions to check your fit for Entry Level Product Manager Poughkeepsie NY 2026 @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs