[Hiring] Director of Product Management - AI Systems @IonQ

Role Description

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
• 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.

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, 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.

Qualifications

• 13+ years of professional experience or an equivalent combination of education and experience
• Prior experience building AI systems that manage complex knowledge
• Track record in building and shipping internal tools that teams use daily
• Comfortable with knowledge management, document retrieval, or search infrastructure
• Understanding of Generative AI architectures well enough to hold substantive technical conversations with engineers
• 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

Preferred Qualifications

• 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

Benefits

• Comprehensive medical, dental, and vision plans
• Matching 401K
• Unlimited PTO and paid holidays
• Parental/adoption leave
• Legal insurance
• Home technology stipend