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.
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 Have
- 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.
Team
Structure: cross-functional team
Additional Information
- The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.
