Staff Software Engineer, Business Money

Gusto · San Francisco, CA;New York, NY;Ontario, CAN - Remote;Toronto, Ontario, CAN - Remote;United States - Remote · $163K – $204K · Engineering

Posted 2026-07-10

13% below the median for Lead & Executive Engineering roles

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About the Role:

As a Staff Engineer, you’ll play a significant role in building new products and scaling existing ones to further evolve Gusto’s product offerings. Your work will focus on improving our customers’ financial tools, helping them spend less time managing their finances and more time focusing on their businesses. You will collaborate with a team of highly skilled professionals, contributing engineering expertise throughout the product development lifecycle—from ideation and design to architecture, development, release, and post-release monitoring and scaling.

About the Team:

At Gusto, the Business Money team is on a mission to support small and medium-sized businesses by providing financial tools that help them manage cash flow and run their businesses with confidence. The suite of products we own includes (but is not limited to) Bill Pay, Invoicing, Expenses, Payroll Bridge (Payroll Line of Credit to fund payroll), and a Cash Flow Dashboard that offers a comprehensive view of business finances.

Our team is relatively small but operates at a fast, startup-like pace. In less than two years, the team has effectively created a new business vertical called Gusto Money, delivering multiple large scale 0-1 products that help small businesses have more control over their business finances and greater confidence in making financial decisions. As we continue to expand our offerings across business finance, accounting, and cash flow management, this is a great opportunity to apply your skills and help shape the future of Gusto Money.

Here’s what you’ll do day-to-day:

Build products & services and scale the platform that powers business money and accounting experiences at Gusto

Take ownership of projects, ensuring they meet high standards of quality and performance

Adopt the latest best practices for using AI technologies across all aspects of product development

Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams

Engage in a highly supportive environment working with others to drive productivity and innovation

Help drive the product development process from concept to launch

Here’s what we're looking for:

8+ years of professional software development experience

Experience architecting, building, and testing large-scale and resilient distributed systems and/or software platforms

Maximizes the use of AI tooling while guiding the team in adopting modern AI practices

Comfortable dealing with ambiguity and working with quick iteration cycles

Ability to communicate technical complexity and help facilitate informed tradeoffs

Willingness to collaborate across different functions

An aptitude and interest in bringing clarity and simplicity to complex and ambiguous problems

Experience as a technical lead, leading the work of multiple engineers on multi-quarter projects

Nice, but not required:

Experience in the Fintech industry building scalable backend systems to power financial services and products

Experience with accounting, bookkeeping, tax, or financial reporting systems and a strong understanding of accounting workflows

Familiarity with small business accounting or tax domains, including concepts such as ledgers, reconciliations, financial statements, payroll accounting, or tax compliance

Ruby/Ruby on Rails, GraphQL, React, Typescript, AWS

Please note that a two day travel to a Gusto office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.

Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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