About the job
About Gusto
At Gusto, we are dedicated to empowering the small business economy. We take care of complex tasks such as payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on their passion and their customers. With offices in Denver, San Francisco, and New York, we proudly serve over 400,000 small businesses nationwide while creating a workplace that reflects and celebrates the diverse clientele we support. Discover more about our Total Rewards philosophy.
About the Role
As a Staff Software Engineer on the Benefits Advisory team, you will spearhead significant architectural advancements in Gusto's benefits platform as we transition towards becoming an AI-driven organization. This full-stack role involves designing and building platform capabilities that empower customers to explore, apply for, and manage their benefits seamlessly.
Your focus will be on enhancing our benefits opportunity, shopping, and renewal processes, establishing clear system boundaries that facilitate efficient reuse and scalability, and enabling a broader range of products to be offered more swiftly. You will create services that not only scale the organization but also provide innovative AI-driven interfaces for an exceptional benefits shopping experience.
You will work collaboratively at the intersection of marketing, sales, and engineering. If you are passionate about developing highly scalable systems that can analyze, predict, and personalize offerings to drive Gusto Benefits' next phase of sustainable growth, we invite you to join our team.
About the Team
The Benefits Advisory team is pioneering the next generation of infrastructure that powers benefits applications, making it easier to provide customers with the best options tailored to their needs.
Our mission is to build a robust system that enables customers to easily access the most relevant benefits, ensuring they can confidently meet their current and future requirements. We are developing a world-class technology platform that understands customer context in real-time and continually improves through data and feedback, emphasizing rapid experimentation, quick learning, and strong cross-functional collaboration.
We prioritize quality, observability, and uptime because these intelligent systems are fundamentally integral to our success.