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AI Technical Product Manager, HBS Foundry
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School, Unit & Position Information
School/Unit: Harvard Business School
Department: HBS Foundry
Job Function: Technical
Location: Boston
Job Type: Full-time
Salary Grade: 059
FLSA Status: Exempt
Union: Non Union, Exempt or Temporary
Term Appointment: Yes
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 develop tools and experiences that empower founders to grow their ventures and confidence in an exciting, fast‑moving environment where new ideas matter.
Job Summary Lead the development and implementation of complex information technology projects that solve problems with wide impact, requiring functional integration across multiple disciplines. The AI Technical Product Manager bridges artificial intelligence capabilities and real‑world product applications, combining deep technical understanding with strategic product insight 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 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 the 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 trade‑offs 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
Perform other duties as assigned
Qualifications Basic Qualifications
Minimum of seven years of 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 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 is unable to provide visa sponsorship for this position
Pre‑Employment Screening: Identity, Education, Criminal
Other Information: This is a hybrid position combining remote and onsite work at our Boston, MA campus. HBS expects staff to be onsite a minimum of 3 days per week.
Interviews may be conducted virtually (phone/Zoom) and/or in‑person.
Candidates are required to complete a
Take Home Assignment
after clearing the Technical Recruiter Screen.
A cover letter is required to be considered for this opportunity.
Work Format Details This position may be performed at a non‑Harvard location. The work schedule and location will be set by the department based on operational needs. When not working at a Harvard or Harvard‑designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts.
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
Learn more about these and additional benefits on our Benefits & Wellbeing Page.
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.
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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School, Unit & Position Information
School/Unit: Harvard Business School
Department: HBS Foundry
Job Function: Technical
Location: Boston
Job Type: Full-time
Salary Grade: 059
FLSA Status: Exempt
Union: Non Union, Exempt or Temporary
Term Appointment: Yes
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 develop tools and experiences that empower founders to grow their ventures and confidence in an exciting, fast‑moving environment where new ideas matter.
Job Summary Lead the development and implementation of complex information technology projects that solve problems with wide impact, requiring functional integration across multiple disciplines. The AI Technical Product Manager bridges artificial intelligence capabilities and real‑world product applications, combining deep technical understanding with strategic product insight 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 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 the 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 trade‑offs 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
Perform other duties as assigned
Qualifications Basic Qualifications
Minimum of seven years of 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 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 is unable to provide visa sponsorship for this position
Pre‑Employment Screening: Identity, Education, Criminal
Other Information: This is a hybrid position combining remote and onsite work at our Boston, MA campus. HBS expects staff to be onsite a minimum of 3 days per week.
Interviews may be conducted virtually (phone/Zoom) and/or in‑person.
Candidates are required to complete a
Take Home Assignment
after clearing the Technical Recruiter Screen.
A cover letter is required to be considered for this opportunity.
Work Format Details This position may be performed at a non‑Harvard location. The work schedule and location will be set by the department based on operational needs. When not working at a Harvard or Harvard‑designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts.
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
Learn more about these and additional benefits on our Benefits & Wellbeing Page.
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.
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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