AI Technical Product Manager, Dean's Office

AI Technical Product Manager, Dean's Office Full-time Work Format: Hybrid Harvard Job Function: Information Technology Union: 00 - Non Union, Exempt or Temporary Salary Grade: 058 Department: Dean's Office FLSA Status: Exempt 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 Harvard Business School? Harvard Business School, located on a 40-acre campus in Boston, was founded in 1908 as part of Harvard University. It is among the world's most trusted sources of management education and thought leadership. For more than a century, the School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business School fosters bold new ideas and collaborative learning networks that shape the future of business. Job Description Job Summary: The AI Technical Product Manager bridges the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding 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 understand 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 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 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. This role is responsible for other duties as assigned Qualifications Basic Qualifications: Minimum of five years’ post-secondary education or relevant work experience Technical Background Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field 5+ years of