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Dropbox

Staff Product Manager, Dash Growth

Reposted 11 Days Ago
In-Office or Remote
Hiring Remotely in Select, KY
Senior level
In-Office or Remote
Hiring Remotely in Select, KY
Senior level
Lead growth strategy and execution for Dash, focusing on product-led growth, experimentation, and cross-functional team alignment to drive user engagement and retention.
The summary above was generated by AI
Role Description

At Dash, Dropbox’s new AI-native product line, we’re building from first principles to redefine how people work with information. We’re looking for a Staff Product Manager to lead growth strategy and execution—anchoring product-led growth (PLG) at the core of our GTM and lifecycle motion. This role is central to how Dash scales through self-serve channels, compounding user value through thoughtful, data-informed growth systems.

As Staff Product Manager for Growth, you’ll drive a dynamic, high-leverage portfolio that spans the end-to-end customer journey. Your focus won’t be limited to one stage of the growth funnel. Instead, you’ll adapt to the areas that matter most—whether that’s driving awareness, deepening engagement, or unlocking new paths to scale.

You’ll operate as both a strategic and executional leader: shaping company-level PLG bets while also running high-velocity experiments, growth loops, and infrastructure that drive sustainable growth.

This role is perfect for someone who thrives in fast-moving, ambiguous environments. You bring a deep growth craft, sharp user instincts, and fluency in how to blend experimentation with systems thinking. You’ll work closely with Engineering, Design, Data Science, and Marketing to identify inflection points for scale and accelerate product-market fit.

Responsibilities
  • Planning & forecasting: size opportunities, set goals, and align cross-functional teams on the metrics that matter.
  • Experimentation optimization: tighten our A/B pipeline—prioritize tests, speed up learning cycles, and ensure we extract signal from noise.
  • Growth-loop stewardship: diagnose loop health, spot friction points, and drive iterative improvements that compound over time.
  • Performance evaluation: monitor funnels end-to-end, surface insights, and recalibrate strategy when priorities shift.
  • Mentorship & collaboration: support and elevate fellow Growth PMs through knowledge-sharing, feedback, and peer alignment.
  • Executive communication: clearly and consistently communicate progress, insights, and recommendations to senior leadership on a recurring basis.
Requirements
  • 10+ years of product management experience, with at least 4 years focused specifically on product-led growth or self-serve motions.
  • Demonstrated success driving growth metrics (e.g. acquisition, activation, retention, monetization) through product experimentation and iterative development.
  • Strong analytical skills, including proficiency with experimentation tools, interpreting A/B test results, and comfort working with data (e.g. SQL, dashboards).
  • Deep understanding of growth loops, funnel mechanics, and compounding growth strategies across B2C or prosumer products.
  • Excellent communication and storytelling skills, including the ability to clearly synthesize insights and influence senior stakeholders.
  • Proven track record of cross-functional leadership, including mentoring other PMs and aligning with Engineering, Design, Marketing, and Data Science.
Preferred Qualifications
  • Exceptional problem solving and execution capacity. Demonstrated success in solving difficult challenges to unlock growth.
  • Ownership and hustle: Demonstrated ability to take initiative and drive impact in ambiguous environments
  • Strong product sense: Possesses ability to guide their team in a highly ambiguous environment 
  • Familiarity with AI-powered products and tools, including experience using or integrating them into user-facing workflows or internal growth systems.
Compensation

US Zone 1

This role is not available in Zone 1

US Zone 2
$206,600$279,500 USD
US Zone 3
$183,600$248,400 USD

Top Skills

SQL

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