AI Technical Product Manager, Dean's Office

Harvard University • Boston, MA

1d • Hybrid

About The Position

The AI Technical Product Manager bridges artificial intelligence capabilities and real-world product applications, combining technical and strategic product understanding to build AI-powered solutions that deliver measurable value. The role balances innovation with practical implementation, assesses technical feasibility and business impact, and establishes success metrics for AI product initiatives.

The position collaborates with data scientists, machine-learning engineers, software developers, engineering, design, and data-engineering teams to translate business needs into technical specifications and usable AI-powered products. It owns the AI product backlog and development lifecycle, aligns priorities and deadlines with the Project Director, manages tradeoffs among model performance, latency, cost, and user experience, and oversees experimentation and production model monitoring.

The role also supports responsible AI through fairness, transparency, privacy, bias mitigation, governance, security, and regulatory compliance. It requires on-site engagement with colleagues and constituents. The position is hybrid, with a minimum of three days per week on Harvard's Boston campus, and is approved for a two-year term with the possibility of renewal or extension.

Requirements

• At least five years of post-secondary education or relevant work experience.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
• At least 5 years of product management experience, including at least 2 years specifically on AI/ML products.
• Strong understanding of machine-learning concepts, algorithms, and deployment architectures.
• Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and with 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.
• Ability to engage credibly with AI/ML engineers on architecture and implementation details.
• Ability to communicate technical concepts clearly to diverse audiences and collaborate with UX/UI teams to turn AI capabilities into intuitive experiences.

Nice To Haves

• Data science background with technology development experience.
• Master's degree preferred.
• 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 to navigating AI regulatory landscapes, such as the EU AI Act.

Responsibilities

• Balance innovation with practical implementation by assessing technical feasibility and business impact.
• Establish success metrics and KPIs for AI product initiatives.
• Translate business requirements into technical specifications in collaboration with data scientists, ML engineers, and software developers.
• Make informed decisions about model selection, data requirements, and infrastructure needs.
• Evaluate emerging AI technologies for 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 effectively use AI capabilities.
• Coordinate with data engineering on data pipelines, quality, and governance.
• Communicate technical concepts to non-technical stakeholders, including executives and customers.
• Align with the Project Director on strategic priorities, customer experience and usability needs, and internal and external deadlines.
• Own the product backlog and write detailed user stories and acceptance criteria for AI features.
• Manage tradeoffs among model performance, latency, cost, and user experience.
• Oversee A/B testing and experimentation frameworks to validate AI-driven improvements.
• Monitor production model performance 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 considerations.
• Build trust and collaboration through on-site presence and direct engagement with colleagues and constituents.
• Perform other duties as assigned.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior