Staff Software Engineer, Gusto Solo

Gusto·San Francisco, CA - Hybrid

In short

→Ingeniero de software de alto impacto que construye productos AI-nativos para solopreneurs desde cero.
→Trabajas en equipo pequeño, tomas decisiones de producto, diseño y lanzamiento, con responsabilidad directa sobre ingresos.
→Eres dueño del proyecto: desde la idea hasta el despliegue, con libertad para influir más allá de la codificación.

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What they ask for

✓8+ años de experiencia en ingeniería de software
✓Entrega de características full-stack desde cero
✓Experiencia comprobada en proyectos 0→1 o de campo verde
✓Capacidad para tomar decisiones en entornos ambiguos
✓Uso habitual de herramientas de IA en el trabajo diario
✓Comunicación clara por escrito y verbal

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Ruby on RailsReactTypeScriptGraphQLAI toolsMCP toolsData ScienceProductDesignGTM

Who should you write to at Gusto?

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About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy . AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: Gusto Solo is the all-in-one platform solopreneurs (and their accountants) run their whole business on. We're looking for a Staff Software Engineer to help build the next chapter of Solo. You'll work in a tight, high-leverage funnel where your work maps directly to top-line revenue, and you'll help build an AI-native product. We're looking for an owner, not just an executor: someone with a strong product mindset who spots the problem, drives the change, and sees it through end to end. We're a small, scrappy, fast-moving team, so we're looking for someone who likes wearing many hats. If you want to weigh in on product, design, or GTM along the way, there's real room for that here. About the Team: Self-employed businesses are one of the fastest-growing segments of small business, and Gusto is betting on making Solo the true all-in-one platform for solopreneurs. This is a fully funded, high-performing team: a small group of engineers and an Engineering Manager, plus a dedicated Data Scientist, Designer, and GTM partner with room to grow based on roadmap progress. Here’s what you’ll do day-to-day: • Own end-to-end delivery of net-new product areas, from technical design through shipping. • Use AI as a genuine multiplier in your own workflow, and help build AI-native experiences into the product itself (including MCP tools). • Partner closely with Product, Design, Data Science, and GTM to identify customer and business problems, prototype solutions, and iterate quickly. • Make pragmatic architecture and data-modeling decisions for problems that mostly don't have existing precedent at Gusto yet. • Build and maintain full-stack features - from backend APIs to frontend UI - with an eye toward scalability and maintainability as the team and product grow. • Weigh in beyond the "engineer lane" when it helps the team: product framing, design tradeoffs, or GTM considerations. • Help define engineering practices and technical foundations for a team that's still early in its build-out. Here’s what we're looking for: • 8+ years of professional software engineering experience, with a track record of shipping full-stack features end to end. • Proficiency across a full-stack toolkit (e.g., Ruby on Rails, React, TypeScript, GraphQL) and the judgment to choose the right tool for the problem. • Demonstrated ownership of 0→1 or greenfield projects, not just extension of existing systems. • A self-driven mindset: comfortable setting direction amid ambiguity, not just executing against a spec. • Genuine, habitual use of AI tools in day-to-day engineering work • Excellent written and verbal communication, with

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