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Entry Level Product Manager Poughkeepsie NY 2026

IBM

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Entry Level Product Manager Poughkeepsie NY 2026

full-timePosted: Dec 11, 2025

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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IBM logo

Entry Level Product Manager Poughkeepsie NY 2026

IBM

Other Jobs

Entry Level Product Manager Poughkeepsie NY 2026

full-timePosted: Dec 11, 2025

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

Target Your Resume for "Entry Level Product Manager Poughkeepsie NY 2026" , IBM

Get personalized recommendations to optimize your resume specifically for Entry Level Product Manager Poughkeepsie NY 2026. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Entry Level Product Manager Poughkeepsie NY 2026" , IBM

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Product ManagementProduct Management

Answer 10 quick questions to check your fit for Entry Level Product Manager Poughkeepsie NY 2026 @ IBM.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.