Staff Software Engineer — AI-Powered Time & Scheduling

Gusto, Inc.

United States

Hybrid

USD 163,000 - 247,000

Full time

7 days ago
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Benefits offered by this job

Equity (RSUs)
Competitive base pay
Travel for onboarding

Job summary

Gusto, Inc. is seeking a Staff Software Engineer for the Time / Scheduling product team to ship features from design through launch and iteration.

You will write frontend code, design backend APIs, influence product direction, and own post-launch outcomes. Ideal candidates have 8+ years of experience, familiarity with Ruby on Rails and React, and a track record building scalable systems while applying AI tools to speed development.

Qualifications

  • 8+ years of software development experience.
  • Experience building scalable solutions that eliminate customer pain.
  • Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new product capabilities.
  • Curiosity and experimentation with emerging AI frameworks, applying best practices to scale AI safely.
  • Ownership of multi-quarter projects that impact customers at scale.

Responsibilities

  • Design, build, and test Gusto core products across the Time domain.
  • Mentor other engineers to solve complex problems at scale.
  • Scale a large Ruby/Rails and JavaScript/React application.
  • Collaborate with Product, Data, Design, and Platform Engineering to solve customer pain points and launch features.
  • Build products that customers genuinely love.

Skills

Ruby on Rails
AI tools experience
Mentor engineers
Full-stack development
Frontend/Backend integration

Tools

Ruby on Rails
JavaScript/React

Job description

Gusto, Inc. is seeking a Staff Software Engineer for the Time / Scheduling product team to ship features from design through launch and iteration.

You will write frontend code, design backend APIs, influence product direction, and own post-launch outcomes. Ideal candidates have 8+ years of experience, familiarity with Ruby on Rails and React, and a track record building scalable systems while applying AI tools to speed development.

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