Harvard University · 1 month ago
AI Technical Product Manager, HBS Foundry
Boston, MA
Full-time
Hybrid
Senior Level
5+ years expHarvard University is a prestigious institution dedicated to innovation and collaboration. The AI Technical Product Manager will lead the development and implementation of AI-powered solutions, bridging the gap between artificial intelligence capabilities and real-world applications, while managing multiple projects and collaborating with cross-functional teams.
EducationHigher EducationUniversities
No H1B
Responsibilities
Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
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
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
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
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 consideration
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
Qualification
Required
Minimum of seven years' post-secondary education or relevant work experience
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.)
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
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
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
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
Company
Harvard University
Harvard University is a private research university and a member of the Ivy League.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$136.43MKey Investors
National Endowment for the Humanities (NEH)Alfred P. Sloan FoundationMassachusetts Clean Energy Center
2023-01-10Grant· $0.35M
2022-01-01Grant· $1.5M
2021-08-24Grant· $0.07M
Leadership Team
Anne Margulies
CIO
Christopher Petty
Director Of Business Development
Recent News
2026-01-16
Business Standard India
2026-01-15
Company data provided by crunchbase