IonQ - Director of Product Management - AI Systems
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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. • 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. • 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. • Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
Responsibilities
• 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. • 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. • 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. • 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. • 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.
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