Director of Product Management - AI Systems

IonQ

15h•Remote

About The Position

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.

Requirements

13+ years of professional experience or an equivalent combination of education and experience
Have prior experience building AI systems that manage complex knowledge.
Have a track record in building and shipping internal tools that teams use daily.
Are comfortable with knowledge management, document retrieval, or search infrastructure, and understand Generative AI architectures well enough to hold substantive technical conversations with engineers.
Are capable of organizing requirements and priorities despite ambiguity, driving results, and forming plans for validating product ideas.
Enjoy and have practice collaborating with multiple business, research, and engineering teams to drive concrete results.

Nice To Haves

Have built persona frameworks and service blueprints that directly shaped product requirements and interaction design.
Have owned change management tied to a product rollout and can demonstrate adoption with behavioral data.

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, and Security teams to build safeguards for data security and responsible AI usage.
Steer Internal Usage and Satisfaction
Run structured discovery sessions with internal teams to identify knowledge gaps and build the first version around actual workflows.
Design the system for high business impact from day one, accounting for different interaction models for various user personas (e.g., GTM vs. engineers).
Own the internal launch end-to-end, including training, onboarding, documentation, and change management.
Define what ‘working’ looks like before shipping, measure adoption and usage quality, and own the organizational change process.
Manage Cross-Functional Collaboration
Serve as the connective tissue between engineering, Applications Development, GTM, and all other stakeholders, translating needs into clear requirements.
Proactively communicate progress, roadmap status, blockers, and changes in writing to all affected stakeholders.
Work with the Product team and CPO to ensure this initiative stays aligned with IonQ’s broader strategy.