Senior Growth Product Designer — Experiments & Onboarding

Yahoo

United States

Hybrid

USD 128,000 - 267,000

Full time

14 days+
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Benefits offered by this job

Healthcare
401k
Education stipends
Backup childcare
Flexible hybrid work

Job summary

Yahoo Mail Growth & Experimentation is seeking a Senior Product Designer to shape growth and experimentation across desktop, mobile web, iOS, and Android. You will be embedded in a cross-functional squad, partnering with user research, content, marketing, and platform teams to guide experience strategy grounded in user insight and measurable outcomes.

The role emphasizes ambiguity tolerance, deep experimentation instincts, and leadership in AI-enhanced design, aiming to drive acquisition,

Qualifications

  • 5+ years of experience designing consumer web and/or mobile products at scale.
  • Strong portfolio demonstrating user-centered product thinking and polished visual craft.
  • Experience utilizing AI-powered design tools and generative workflows.

Responsibilities

  • Lead design strategy across high-leverage growth surfaces to drive activation and retention.
  • Translate growth strategy into experience direction with Product, Engineering, and Data teams.
  • Use qualitative and quantitative insights to identify opportunities and iterate on experiments.
  • Contribute to Yahoo Mail’s design system with growth-related patterns.
  • Mentor designers and facilitate critiques to align on strategic direction.
  • Identify and implement AI-driven efficiencies in ideation and design workflows.

Skills

Growth mindset
Product thinking
Experimentation
AI-powered design

Tools

Figma
Cursor
Claude

Job description

Yahoo Mail Growth & Experimentation is seeking a Senior Product Designer to shape growth and experimentation across desktop, mobile web, iOS, and Android. You will be embedded in a cross-functional squad, partnering with user research, content, marketing, and platform teams to guide experience strategy grounded in user insight and measurable outcomes.

The role emphasizes ambiguity tolerance, deep experimentation instincts, and leadership in AI-enhanced design, aiming to drive acquisition,

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