ironquill.tech/board

$ cat jobs/staff-product-manager-dropbox-f3aabd4c3f76.json

Staff Product Manager

Dropbox·Worldwide·Anywhere in the World·senior
llmdata science
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<p> <strong>Headquarters:</strong> Remote - Canada: Select locations </p> <h2>Responsibilities</h2> <ul> <li>Define and execute the product vision, strategy, and roadmap for Stacks and project context experiences within Dropbox.</li> <li>Clarify the relationship between folders, Stacks, Spaces, projects, Home, AI/chat experiences, and collaborative workflows to create a cohesive user mental model.</li> <li>Build intelligent project context experiences that bring together Dropbox content, third-party references, comments, tasks, activity, status, versions, and AI-generated summaries in trusted workspaces.</li> <li>Partner cross-functionally with Engineering, Design, Search, Connectors, Sharing, Platform, and AI teams to deliver scalable and intuitive user experiences.</li> <li>Define onboarding flows, naming systems, promotion paths, and interaction patterns that help users understand when and why to use Stacks.</li> <li>Establish product quality bars, experimentation frameworks, learning goals, and success metrics for early design partner programs and broader rollout strategies.</li> <li>Translate complex technical tradeoffs around retrieval, permissions, freshness, connector reliability, and model behavior into clear product decisions that maintain user trust and simplicity.</li> </ul> <h2>Requirements</h2> <ul> <li>10+ years of product management experience building and shipping high-impact user-facing products.</li> <li>Deep experience with conceptual model thinking and a knack for making the complex seem simple.</li> <li>Strong technical depth with the ability to reason about AI/LLM systems, retrieval quality, search relevance, permissions, platform constraints, and distributed product architectures.</li> <li>Demonstrated success building products that balance UX simplicity with underlying technical complexity.</li> <li>Experience working cross-functionally with Engineering, Design, Data Science, AI/ML, and Platform teams to define ambiguous product areas and dr

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