# Staff Software Engineer, PEO

**Company**: Gusto
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/gusto/jobs/8244969?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0c430949-c40

## Description

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.

As a Staff Engineer on PEO Growth, you'll own the path from how a business discovers PEO all the way to getting the business fully set up.

## Responsibilities

- Own the PEO Onboarding experience end to end , how a business learns about the PEO, commits to it, and gets set up on it , and be accountable for whether customers make it all the way through.

- Set technical direction: turn ambiguous product bets into designs, sequencing, and durable abstractions that hold up as the product and its audience grow.

- Build in a regulated domain where quality and accuracy is critical.

- Partner across other app teams to integrate their domains into one coherent journey, and negotiate the seams when ownership is unclear.

- Use AI as a normal part of how you work , coding agents, review, debugging, and codebase exploration , and help build AI-assisted guidance into the onboarding experience itself so customers get unstuck without waiting on a human.

- Instrument the funnel and make decisions from it: define what "onboarding is working" means, measure it, and use experiments rather than intuition to decide what to change.

- Raise the engineering bar in a fast-moving area , reviews, testing strategy, observability, and the judgment calls about where to build carefully and where to move fast.

## Requirements

- 8+ years of professional software engineering experience, including meaningful time owning customer-facing product surfaces in a large production codebase.

- Strong full-stack range: comfortable in a mature server-side codebase and in a modern component-based frontend.

- Demonstrated AI fluency: you already use AI tooling in your day-to-day engineering work, can speak concretely about where it helps and where it doesn't, and you keep up as the tooling changes.

- High ownership in ambiguity. You can take a fuzzy business need, shape it into something buildable, and ship it without waiting for a perfect spec , and you anticipate what the team will need next instead of reacting to it.

- A strong collaborator and influencer across team boundaries, with a track record of leveling up the engineers around you.

- Experience in growth , funnels, conversion, plan and product configuration, or the systems that turn a purchase decision into a provisioned customer.

- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

## Benefits

- Competitive base pay

- Benefits

- Equity (RSUs)

- Physical office spaces in Denver, San Francisco, and New York City

- Flexible work arrangements

## Skills

### Required
- Ruby on Rails
- React/TypeScript
- AI fluency
- full-stack development
- software engineering

### Nice to have
- growth
- funnels
- conversion
- plan and product configuration

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/gusto/jobs/8244969?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
