Staff Product Manager

Dropbox Dropbox · Enterprise · Canada +1 · Prod - Core Experience (Sub Team)

Product Manager for Dropbox Stacks and project context experiences, focusing on building intelligent, AI-powered features that integrate various content types and third-party references into trusted workspaces. The role requires defining product strategy, collaborating with AI and engineering teams, and translating complex technical concepts into user-friendly product decisions, with an emphasis on trust, precision, and recall in AI systems.

What you'd actually do

  1. Define and execute the product vision, strategy, and roadmap for Stacks and project context experiences within Dropbox.
  2. Clarify the relationship between folders, Stacks, Spaces, projects, Home, AI/chat experiences, and collaborative workflows to create a cohesive user mental model.
  3. 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.
  4. Partner cross-functionally with Engineering, Design, Search, Connectors, Sharing, Platform, and AI teams to deliver scalable and intuitive user experiences.
  5. Define onboarding flows, naming systems, promotion paths, and interaction patterns that help users understand when and why to use Stacks.

Skills

Required

  • 10+ years of product management experience building and shipping high-impact user-facing products.
  • Deep experience with conceptual model thinking and a knack for making the complex seem simple.
  • Strong technical depth with the ability to reason about AI/LLM systems, retrieval quality, search relevance, permissions, platform constraints, and distributed product architectures.
  • Demonstrated success building products that balance UX simplicity with underlying technical complexity.
  • Experience working cross-functionally with Engineering, Design, Data Science, AI/ML, and Platform teams to define ambiguous product areas and drive execution.
  • Strong product instincts around trust, precision, recall, freshness, citations, source boundaries, and human-in-the-loop workflows.
  • Excellent communication, strategic thinking, and stakeholder management skills with experience influencing senior leadership.

Nice to have

  • Experience building AI-powered productivity, search, collaboration, or workspace products.
  • Familiarity with retrieval systems, connectors, recommendation systems, or context-aware AI experiences.
  • Experience working on products involving permissions models, shared workspaces, or enterprise collaboration systems.
  • Strong understanding of modern knowledge work workflows across creative, client-service, media, construction, or project-based teams.
  • Experience leading 0→1 product initiatives in ambiguous or emerging product categories.

What the JD emphasized

  • AI/LLM systems
  • retrieval quality
  • search relevance
  • permissions
  • freshness
  • citations
  • source boundaries
  • human-in-the-loop workflows
  • AI-generated summaries
  • context-aware AI experiences

Other signals

  • AI/LLM systems
  • retrieval quality
  • search relevance
  • AI-generated summaries
  • context-aware AI experiences