Staff Product Manager

The role is for a Staff Product Manager at Dropbox, focusing on product vision, strategy, and user experience for workspace and project context features, with a strong emphasis on AI and collaboration tools.

Location: Remote - Canada: Select locations

Salary: $196,400–$265,700 CAD

Responsibilities

• Define and execute the product vision, strategy, and roadmap for Stacks and project context experiences within Dropbox.
• Clarify the relationship between folders, Stacks, Spaces, projects, Home, AI/chat experiences, and collaborative workflows to create a cohesive user mental model.
• 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.
• Partner cross-functionally with Engineering, Design, Search, Connectors, Sharing, Platform, and AI teams to deliver scalable and intuitive user experiences.
• Define onboarding flows, naming systems, promotion paths, and interaction patterns that help users understand when and why to use Stacks.
• Establish product quality bars, experimentation frameworks, learning goals, and success metrics for early design partner programs and broader rollout strategies.
• Translate complex technical tradeoffs around retrieval, permissions, freshness, connector reliability, and model behavior into clear product decisions that maintain user trust and simplicity.

Requirements

• 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.