Harvard Business School
AI Technical Product Manager, HBS Foundry
Harvard Business School, Boston, Massachusetts, us, 02298
AI Technical Product Manager, HBS Foundry
Join to apply for the
AI Technical Product Manager, HBS Foundry
role at
Harvard Business School
Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world‑changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join HBS Foundry? HBS Foundry is a new initiative at Harvard Business School that helps founders build, fund, and launch their ventures through an AI‑driven digital learning platform. We’re a small, collaborative team within one of the world’s most respected institutions—combining the energy of a startup with the mission and reach of Harvard. Foundry brings together educators, engineers, and creative thinkers who are passionate about innovation, learning, and impact. Together, we’re developing tools and experiences that empower founders to grow their ventures and their confidence. It’s an exciting, fast‑moving environment where new ideas matter and every team member has the opportunity to shape what comes next.
Job Description Job Summary:
Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed. May manage a number of projects simultaneously.
The AI Technical Product Manager bridges the gap between artificial intelligence capabilities and real‑world product applications, combining deep technical understanding with strategic product understanding to build AI‑powered solutions that deliver measurable value.
Job‑Specific Responsibilities Product
Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
Technical Leadership
Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
Make informed decisions about model selection, data requirements, and infrastructure needs
Evaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies
Cross‑Functional Collaboration
Partner with engineering teams to prioritize features and manage the development lifecycle
Work with design teams to create intuitive user experiences that leverage AI capabilities effectively
Coordinate with data engineering on data pipelines, quality, and governance
Communicate technical concepts to non‑technical stakeholders including executives and customers
Product Development & Execution
Align with Project Director on strategic priorities, customer experience and usability needs, and internal/external deadlines
Own the product backlog, writing detailed user stories and acceptance criteria for AI features
Manage tradeoffs between model performance, latency, cost, and user experience
Oversee A/B testing and experimentation frameworks to validate AI‑driven improvements
Monitor model performance in production and coordinate retraining or optimization efforts
Ethics & Risk Management
Ensure responsible AI practices including fairness, transparency, and privacy considerations
Identify potential biases in training data and model outputs
Establish governance frameworks for AI model deployment and monitoring
Navigate regulatory requirements, security needs, and compliance considerations
Build trust and collaboration by being present on‑site and engaging directly with colleagues and various constituents
This role is responsible for other duties as assigned
Qualifications Basic Qualifications
Minimum of seven years’ post‑secondary education or relevant work experience
Additional Qualifications and Skills
Knowledge of Microsoft Office Suite, advanced Excel skills
Knowledge of information technology applications, processes, software and equipment
Highly specialized knowledge of a specific technology
Knowledge of advanced IT project management principles (e.g., Agile) and software
Demonstrated cross‑functional project management experience
Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
Attitude that supports an Agile working environment
Master’s degree in Computer Science, Engineering, Data Science, or related technical field
Experience with large language models, prompt engineering, or RAG systems
Background in software engineering or data science
Track record of managing products at scale with millions of users
Exposure navigating AI regulatory landscapes (EU AI Act, etc.)
Technical Background
Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field
5+ years of product management experience with 2+ years specifically on AI/ML products
Strong understanding of machine learning concepts, algorithms, and deployment architectures
Experience with AI/ML tools and frameworks (TensorFlow, PyTorch, scikit‑learn, etc.)
Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices
Product Management Skills
Proven track record of shipping successful AI‑powered products from concept to launch
Expertise in agile methodologies and product development frameworks
Excellent stakeholder management and communication abilities
Domain Knowledge
Understanding of AI applications in relevant industry verticals
Knowledge of generative AI, NLP, computer vision, or other specialized AI domains as applicable
Awareness of AI ethics, bias mitigation, and responsible AI principles
Additional Information
Appointment End Date: This position is approved as a term appointment with an end date of June 30 , 2027. There is a possibility of renewal/extension.
Standard Hours/Schedule: 40 hours per week
Visa Sponsorship Information: Harvard University cannot provide visa sponsorship for this position
Pre‑Employment Screening: Identity, Education, Criminal
Work Format: Hybrid position – combination of remote and onsite work at our Boston, MA campus. Employees are expected to be onsite a minimum of 3 days per week. Specific onsite hours and days will be determined by business needs and are subject to change with appropriate advanced notice.
Interviews may be conducted virtually (phone and/or Zoom) and/or in person
Take‑Home Assignment required after Technical Recruiter screening; cover letter required to be considered for this opportunity
Work Format Details The position can be performed at a non‑Harvard location in compliance with Harvard’s policy on employment outside Massachusetts. Additional details will be discussed during the interview process.
Salary Grade and Ranges This position is salary grade level 059. Please visit Harvard’s Salary Ranges to view the corresponding salary range and related information.
Benefits
Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks
EEO/Non‑Discrimination Commitment Statement Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non‑discrimination policy. Harvard’s equal employment opportunity policy and non‑discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
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AI Technical Product Manager, HBS Foundry
role at
Harvard Business School
Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world‑changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join HBS Foundry? HBS Foundry is a new initiative at Harvard Business School that helps founders build, fund, and launch their ventures through an AI‑driven digital learning platform. We’re a small, collaborative team within one of the world’s most respected institutions—combining the energy of a startup with the mission and reach of Harvard. Foundry brings together educators, engineers, and creative thinkers who are passionate about innovation, learning, and impact. Together, we’re developing tools and experiences that empower founders to grow their ventures and their confidence. It’s an exciting, fast‑moving environment where new ideas matter and every team member has the opportunity to shape what comes next.
Job Description Job Summary:
Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed. May manage a number of projects simultaneously.
The AI Technical Product Manager bridges the gap between artificial intelligence capabilities and real‑world product applications, combining deep technical understanding with strategic product understanding to build AI‑powered solutions that deliver measurable value.
Job‑Specific Responsibilities Product
Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
Technical Leadership
Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
Make informed decisions about model selection, data requirements, and infrastructure needs
Evaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies
Cross‑Functional Collaboration
Partner with engineering teams to prioritize features and manage the development lifecycle
Work with design teams to create intuitive user experiences that leverage AI capabilities effectively
Coordinate with data engineering on data pipelines, quality, and governance
Communicate technical concepts to non‑technical stakeholders including executives and customers
Product Development & Execution
Align with Project Director on strategic priorities, customer experience and usability needs, and internal/external deadlines
Own the product backlog, writing detailed user stories and acceptance criteria for AI features
Manage tradeoffs between model performance, latency, cost, and user experience
Oversee A/B testing and experimentation frameworks to validate AI‑driven improvements
Monitor model performance in production and coordinate retraining or optimization efforts
Ethics & Risk Management
Ensure responsible AI practices including fairness, transparency, and privacy considerations
Identify potential biases in training data and model outputs
Establish governance frameworks for AI model deployment and monitoring
Navigate regulatory requirements, security needs, and compliance considerations
Build trust and collaboration by being present on‑site and engaging directly with colleagues and various constituents
This role is responsible for other duties as assigned
Qualifications Basic Qualifications
Minimum of seven years’ post‑secondary education or relevant work experience
Additional Qualifications and Skills
Knowledge of Microsoft Office Suite, advanced Excel skills
Knowledge of information technology applications, processes, software and equipment
Highly specialized knowledge of a specific technology
Knowledge of advanced IT project management principles (e.g., Agile) and software
Demonstrated cross‑functional project management experience
Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
Attitude that supports an Agile working environment
Master’s degree in Computer Science, Engineering, Data Science, or related technical field
Experience with large language models, prompt engineering, or RAG systems
Background in software engineering or data science
Track record of managing products at scale with millions of users
Exposure navigating AI regulatory landscapes (EU AI Act, etc.)
Technical Background
Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field
5+ years of product management experience with 2+ years specifically on AI/ML products
Strong understanding of machine learning concepts, algorithms, and deployment architectures
Experience with AI/ML tools and frameworks (TensorFlow, PyTorch, scikit‑learn, etc.)
Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices
Product Management Skills
Proven track record of shipping successful AI‑powered products from concept to launch
Expertise in agile methodologies and product development frameworks
Excellent stakeholder management and communication abilities
Domain Knowledge
Understanding of AI applications in relevant industry verticals
Knowledge of generative AI, NLP, computer vision, or other specialized AI domains as applicable
Awareness of AI ethics, bias mitigation, and responsible AI principles
Additional Information
Appointment End Date: This position is approved as a term appointment with an end date of June 30 , 2027. There is a possibility of renewal/extension.
Standard Hours/Schedule: 40 hours per week
Visa Sponsorship Information: Harvard University cannot provide visa sponsorship for this position
Pre‑Employment Screening: Identity, Education, Criminal
Work Format: Hybrid position – combination of remote and onsite work at our Boston, MA campus. Employees are expected to be onsite a minimum of 3 days per week. Specific onsite hours and days will be determined by business needs and are subject to change with appropriate advanced notice.
Interviews may be conducted virtually (phone and/or Zoom) and/or in person
Take‑Home Assignment required after Technical Recruiter screening; cover letter required to be considered for this opportunity
Work Format Details The position can be performed at a non‑Harvard location in compliance with Harvard’s policy on employment outside Massachusetts. Additional details will be discussed during the interview process.
Salary Grade and Ranges This position is salary grade level 059. Please visit Harvard’s Salary Ranges to view the corresponding salary range and related information.
Benefits
Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks
EEO/Non‑Discrimination Commitment Statement Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non‑discrimination policy. Harvard’s equal employment opportunity policy and non‑discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
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