Design Engineer

Doubling · health and wellness

midRemote

Salary Range (USD)

Negotiable

Location

Chicago, USA

Visa Support

Not Supported

Funding Stage

Unknown

Job Responsibilities

  • own the mobile UX end-to-end
  • product design
  • motion / interaction design
  • code contributions

Required Skills

2+ years combined in product design and motion / interaction designat least one shipped mobile productportfolio that demonstrates both UI and motion workcomfort in a frontend codebase

Engineering Culture & Tech Stack

FigmaReact NativeRiveLottieAfter EffectsPrincipleFramer
product-minded
customer-focused

Raw Post

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Doubling | Design Engineer | Chicago or Bay Area preferred | REMOTE (US) also considered | CONTRACT (1099), 10-20 hrs/week Doubling is building a new mobile product in the health and wellness space. Small founding team, mission-driven, 0-to-1 stage. We're looking for a Design Engineer to own the mobile UX end-to-end: product design, motion / interaction design, and code contributions where it helps the team move faster. The core of the role is product and motion design; code contributions are valued but not the primary skill we're hiring for. Stack / tools: Figma, React Native, plus at least one motion or prototyping tool (Rive, Lottie, After Effects, Principle, or Framer). What we want: 2+ years combined in product design and motion / interaction design, at least one shipped mobile product, a portfolio that demonstrates both UI and motion work, and enough comfort in a frontend codebase to land small UI tweaks and animations (or genuine interest in growing into that). Bonus: prior consumer health, wellness, fitness, or nutrition product experience; design system ownership; founding / first designer at a startup. Must be authorized to work in the U.S. as an independent contractor. No visa sponsorship for this role. Details: https://www.doubling.io/careers/design-engineer Apply: careers@doubling.io

AI Risk Insights

No major risk signals detected.

Recent News

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Data Source

Content parsed by LLM from Hacker News raw data. Confidence:HIGH

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