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Added
6 hours ago
Location
Type
Full time
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Not Specified

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Related skills

product management product strategy generalist
Role Description

Dropbox is seeking a

Staff Product Manager

to drive the evolution of

Find and Relevance

within Dash — the intelligent search and organizational assistant for the future of work. In this role, you’ll focus on how Dropbox helps users

find exactly what they need

, faster and smarter, across apps, content, and conversations.

You’ll lead initiatives that improve

search quality, query understanding, personalization, and ranking relevance

, working closely with AI/ML and data teams to build systems that anticipate user intent. This role blends

data-driven experimentation

with

deep customer empathy

, focusing on measurable impact through precision, recall, and user satisfaction.

This is a high-impact, cross-functional product role that will shape how our users discover and retrieve their work, integrating modern AI techniques—from embeddings to retrieval-augmented generation—into user-facing experiences.

Responsibilities
  • Define and execute the roadmap for Find & Relevance, ensuring Dash delivers high-quality, contextual search results across sources.

  • Partner with engineering and applied AI teams to improve embeddings, ranking models, and retrieval pipelines.

  • Design and run experiments to optimize search performance, using both quantitative and qualitative signals.

  • Translate AI/ML opportunities into user-facing impact through clear hypotheses, success metrics, and iteration loops.

  • Collaborate with Design and Research to understand user intent and friction points in search journeys.

  • Partner with platform and infrastructure teams to ensure scalable, performant AI implementations.

  • Communicate vision, results, and learnings clearly across stakeholders—from engineers to executives.

  • Help evolve Dash’s AI product strategy by advocating for intelligent, personalized, and privacy-aware search.

Requirements
  • 8+ years of product management experience, including ownership of core product areas.

  • BS/MS in Computer Science, Engineering, Business, Information Systems, Applied Math or Statistics, or relevant experience.

  • Demonstrated success improving

    search, ranking, or recommendation systems

    .

  • Familiarity with modern AI/ML systems

    (embeddings,

    vector search, retrieval, ranking models).

  • Strong analytical skills; able to design experiments, interpret results, and drive data-informed decisions.

  • Excellent written and verbal communication skills.

  • Comfort working in fast-paced, ambiguous environments.

  • Passion for building AI-powered productivity experiences that reduce friction and amplify focus.

Preferred Qualifications
  • Experience with semantic search, personalization, or information retrieval systems.

  • Familiarity with evaluation frameworks for search and generative AI systems.

  • Strong cross-functional collaboration experience

    (AI,

    data science, design).

Compensation

US Zone 1

$229,500

—

$310,500 USD

US Zone 2

$206,600

—

$279,500 USD

US Zone 3

$183,600

—

$248,400 USD

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