AI Technical Product Manager, Dean's Office

Company DescriptionBy 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 DescriptionJob 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 impactEstablish success metrics and KPIs for AI product initiativesTechnical LeadershipCollaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specificationsUnderstand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerationsMake informed decisions about model selection, data requirements, and infrastructure needsEvaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies.Cross-Functional CollaborationPartner with engineering teams to prioritize features and manage the development lifecycleWork with design teams to create intuitive user experiences that leverage AI capabilities effectivelyCoordinate with data engineering on data pipelines, quality, and governanceCommunicate technical concepts to non-technical stakeholders including executives and customersProduct Development & ExecutionAlign 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 featuresManage tradeoffs between model performance, latency, cost, and user experienceOversee A/B testing and experimentation frameworks to validate AI-driven improvementsMonitor model performance in production and coordinate retraining or optimization effortsEthics & Risk ManagementEnsure responsible AI practices including fairness, transparency, and privacy considerationsIdentify potential biases in training data and model outputsEstablish governance frameworks for AI model deployment and monitoringNavigate regulatory requirements, security needs, and compliance considerationsBuild trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.This role is responsible for other duties as assignedQualificationsBasic Qualifications: Minimum of five years’ post-secondary education or relevant work experienceTechnical BackgroundBachelor'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 productsStrong understanding of machine learning concepts, algorithms, and deployment architecturesExperience with AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn, etc.)Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practicesProduct Management SkillsProven track record of shipping successful AI-powered products from concept to launchExpertise in agile methodologies and product development frameworksExcellent stakeholder management and communication abilitiesDomain KnowledgeUnderstanding of AI applications in relevant industry verticalsKnowledge of generative AI, NLP, computer vision, or other specialized AI domains as applicableAwareness of AI ethics, bias mitigation, and responsible AI principlesAdditional Qualifications and Skills: Data science background with tech development experience Master's preferredExperience with large language models, prompt engineering, or RAG systemsBackground in software engineering or data scienceTrack record of managing products at scale with millions of usersExposure navigating AI regulatory landscapes (EU AI Act, etc.)Key CompetenciesTechnical depth - Ability to engage credibly with AI/ML engineers on architecture and implementation detailsStrategic thinking - Seeing beyond immediate features to long-term product evolution as identified by Project DirectorMotivation 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 experiencesData-driven decision making - Using metrics and experimentation to validate hypothesesCommunication - Explaining technical concepts clearly to diverse audiencesAdaptability - Thriving in the rapidly evolving AI landscapeThis role requires someone who is equally comfortable discussing neural network architectures with engineers and working with business team members, serving as a crucial link between AI innovation and product success.Additional InformationAppointment End Date: This position is approved for a (2)-year term (with possibility of renewal/extension) which begins on the person's first day of employment.Standard Hours/Schedule: 40 hours per weekVisa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this positionPre-Employment Screening: Identity, EducationOther Information:This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects allstaff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. A cover letter is required to be considered for this opportunity. #LI-MM1Work Format DetailsThis position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.Salary Grade and RangesThis position is salary grade level 058. Please visit  Harvard's Salary Ranges  to view the corresponding salary range and related information. BenefitsHarvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: 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 Learn more about these and additional benefits on our Benefits & Wellbeing Page. EEO/Non-Discrimination Commitment StatementHarvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.SummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Higher Education