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Harvard Business School · 1 week ago

AI Technical Product Manager, HBS Foundry

Boston, MA

Full-time

Hybrid

Senior Level

5+ years exp

Harvard Business School is a prestigious institution dedicated to innovation and collaboration. They are seeking an AI Technical Product Manager to lead the development of AI-powered solutions, bridging the gap between technical capabilities and real-world applications while ensuring responsible practices in AI deployment.

AlumniEducationHigher EducationUniversities

Growth Opportunities

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

AI/ML fundamentalsProduct managementMachine learning conceptsAI regulatory landscapesAgile methodologiesCloud platformsAdvanced Excel skillsStakeholder managementTeam performance skillsCross-functional collaboration

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 Business School

Glassdoor4.4

Harvard Business School is an educational institution that offers two-year residential programs leading to an MBA, Ph.D., or DBA degree. It is a sub-organization of Harvard University.

Founded in 1908

Boston, Massachusetts, USA

1001-5000 employees