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Ccrps

AI Technical Product Manager, HBS Foundry

Ccrps, Boston, Massachusetts, us, 02298

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AI Technical Product Manager, HBS Foundry The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.

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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