Principal AI Product Manager at Disney leading AI-powered discovery experiences across US Parks. Shaping product vision and technical strategy for AI-driven guest engagement.
Responsibilities
Lead the product vision for the Discovery Agent by shaping how it understands, organizes, and leverages Disney’s content and data to deliver clear, helpful, and trustworthy guest experiences.
Define the frameworks and principles that guide how information is structured, connected, and maintained, ensuring the agent can provide accurate, contextual answers and meaningful comparisons.
Establish expectations for quality, responsiveness, and reliability across AI-driven experiences, and partner with engineering and data teams to create the visibility and feedback loops needed to continuously monitor performance and improve system behavior over time.
Shape the overarching approach for how Disney’s content and data are organized, governed, and prepared to support AI‑driven guest experiences.
Define the standards and principles that ensure information is accurate, current, and aligned across teams, enabling the Discovery Agent to deliver trustworthy, context‑aware responses.
Partner with data, content, and platform teams to ensure Disney’s vast content ecosystem is structured and managed in ways that improve discoverability, maintain quality, and unlock new AI‑powered capabilities.
Translate long‑term strategy into a clear, phased roadmap that aligns teams around shared outcomes and provides meaningful visibility into how the Discovery Agent evolves over time.
Champion a responsible approach to AI by ensuring the Discovery Agent aligns with Disney’s standards for safety, transparency, and guest trust.
Requirements
10+ years in product management with 5+ years building ML/AI-powered consumer experiences (search, recommendations, assistants, or conversational agents) at scale.
Demonstrated ownership of the data/content architecture underpinning an AI product (schemas/ontologies, embeddings/vector stores, retrieval design, and data governance).
Deep understanding of agent frameworks, tool/function orchestration, prompt patterns, and evaluation/observability (golden sets, offline/online metrics, human-in-the-loop).
Fluency collaborating on system design with engineers and data/ML partners; able to discuss tradeoffs in latency, throughput, cost, and safety.
Excellence in written strategy (north stars, tenets, decision docs) and the ability to translate technical concepts into guest-friendly experiences.
Bachelor's in CS/HCI/related field (or equivalent); Master’s preferred.
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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