Dropbox

Technology

StaffProductManager

CA$213–288k Canada
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Product Manager at Dropbox. Skills: Product strategy, AI/LLM systems, User experience. Define product vision. Execute product vision”

What You'll Achieve.

Deliver scalable user experiences; Deliver intuitive user experiences

Industry & Context.

Technology
Problems you'll solve

Translate technical tradeoffs; Product decisions

What They're Looking For.

Must Have

10+ years product management experience, Deep experience conceptual model thinking, Technical depth reason about AI/LLM systems, Demonstrated success building products balance UX simplicity, Experience working cross-functionally Engineering, Design, Data Science, AI/ML, Platform teams, Product instincts trust, precision, recall, freshness, citations, source boundaries, human-in-the-loop workflows, Excellent communication skills, Strategic thinking skills, Stakeholder management skills

Nice to Have

Experience building AI-powered productivity products, Experience building AI-powered search products, Experience building AI-powered collaboration products, Experience building AI-powered workspace products, Familiarity retrieval systems, Familiarity connectors, Familiarity recommendation systems, Familiarity context-aware AI experiences, Experience working products involving permissions models, Experience working products involving shared workspaces, Experience working products involving enterprise collaboration systems, Understanding modern knowledge work workflows, Experience leading 0→1 product initiatives

What You'll Do.

Define product vision

Execute product vision

Define product strategy

Execute product strategy

Define product roadmap

Execute product roadmap

Clarify relationship between folders

Create cohesive user mental model

Build intelligent project context experiences

Bring together Dropbox content

third-party references

Partner cross-functionally with Engineering

Deliver scalable user experiences

Deliver intuitive user experiences

Define onboarding flows

Define naming systems

Define promotion paths

Define interaction patterns

Establish product quality bars

Establish experimentation frameworks

Establish learning goals

Establish success metrics

Translate technical tradeoffs into product decisions

Maintain user simplicity

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Design teams; Search teams; Connectors teams; Sharing teams; Platform teams; AI teams

Communication Scope

Strategic thinking; Stakeholder management

Process & Methodology

Roadmap planning

Full Job Description

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 man

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