AI Technical Product Manager, Dean's Office

Harvard University • Boston, MA

1d • Hybrid

About The Position

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.

Requirements

• Minimum of five years’ post-secondary education or relevant work experience
• 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
• Data science background with tech development experience
• 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 depth - Ability to engage credibly with AI/ML engineers on architecture and implementation details
• Strategic thinking - Seeing beyond immediate features to long-term product evolution as identified by Project Director
• Motivation and problem solving– empowering technical team to overcome real or perceived barriers to execute on time
• User understanding – Working with UX/UI team to translate complex AI capabilities into intuitive user experiences
• Data-driven decision making - Using metrics and experimentation to validate hypotheses
• Communication - Explaining technical concepts clearly to diverse audiences
• Adaptability - Thriving in the rapidly evolving AI landscape

Nice To Haves

• Master's preferred
• Experience with large language models, prompt engineering, or RAG systems

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 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

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