Product Manager for Growth at Rebtel acquiring and activating users through innovative strategies. Own product roadmap for web and conversion while collaborating cross - functionally to drive results.
About the role
- 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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