Director of Product Management - AI Systems

About IonQ:  IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.   Location: This position can work onsite or hybrid from one of our offices or fully remote in the US. Travel: Up to 10%, domestic or international. Job ID:  1513 The Role:  We are looking for a highly capable and independent Product Manager to help define the future of organizational effectiveness through the use of AI. As a member of the product organization, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computing solutions to solve the world’s most complex problems. In this role, you would be responsible (in collaboration with the engineering team) for defining, designing, building, and scaling a company-wide AI-based knowledge management platform that would help solve a set of highly impactful use cases that limit the company’s growth due to knowledge and information flow. You would start with a few narrow areas and expand the solution gradually, managing a roadmap in support of both internal and external needs. This is a service design role where you get to define the end-to-end experience: who uses it, how they use it, what workflows it replaces or augments, and whether adoption translates into measurable organizational and business impact. The platform only succeeds if the people using it change how they work. Product Management in quantum computing is no different from any other field, with the exciting difference that you get to be among the first people in history ever to build it. Quantum computers and quantum applications rely on cutting-edge technologies across diverse engineering disciplines, including Machine Learning, Artificial Intelligence, data analysis, and a hybrid execution model that relies on both quantum computers and classical computing resources such as High-Performance Computing. Having interest and experience in these fields will serve you well at IonQ, but we don’t expect you to be an expert in any of them.  You mostly need to demonstrate intellectual curiosity, work well with highly specialized experts, bring in your expertise in knowledge management systems, and manage a coherent point of view of what’s important to our internal users and how we might build a thriving company highly effective at building products and winning business.  This is a unique opportunity to significantly impact IonQ’s market success and drive the broader quantum computing industry as it transitions from a vision into reality. Responsibilities : Own Product Strategy and Roadmap Define the product vision and roadmap for IonQ’s internal AI knowledge platform, collaborating with stakeholders to identify the most impactful use cases. Establish and maintain clear product goals, requirements, and success metrics, making explicit architectural and scope decisions early. Continuously audit assumptions and re-evaluate roadmap priorities as organizational usage patterns and AI tooling evolve. Collaborate on Technical Design and Execution Lead the custom development of the knowledge gathering and retrieval system, working with engineering and data owners on pipelines, metadata, and retrieval tuning. Define the set of tools for populating and maintaining this knowledge system, specifying what the system and tools should do and the value they deliver. Evaluate and define the front-end interaction layer for less-technical users. Maintain working awareness of the AI tooling landscape to inform development decisions. Drive Knowledge Architecture and Data Governance Partner with functional owners to identify, classify, and prioritize knowledge sources. Define and enforce a data governance framework (ownership, updates, staleness, conflict resolution, etc.). Drive the design of the information architecture for scalable retrieval quality. Partner with Infrastructure, Legal,