Human Interest is on a mission to ensure that people in all lines of work have access to retirement benefits.

More than half of all working Americans are not saving enough for their future. Too often, it’s because they are employed by a company that doesn’t offer a retirement plan. Human Interest is changing that by making it affordable and accessible for small and medium-sized businesses to offer employees a path to financial independence through retirement savings.

We’re a high-growth fintech company changing the retirement industry. We are backed by a number of investors. This includes funding from Marshall Wace and Baillie Gifford, as well as top investors such as BlackRock, TPG (The Rise Fund), SoftBank, Glynn Capital, NewView Capital, USVP, Wing, Uncork, and more.

About the role

Are you proficient in computer science and AI-accelerated software engineering? Do you want to put your skills to work alongside a team of elite coders and enthusiastic product thinkers? Curious about how a high-performance startup works and what it takes to build a high-growth unicorn?

As a Software Engineer 1 at Human Interest, you will be an integral part of our engineering team, contributing to projects that are central to our mission. We're looking for bright, technically strong, eager-to-learn engineers who are passionate about problem-solving and fit well with our company culture and values. This is a full-time opportunity to build real-world software in a fast-paced fintech environment, working on the systems that make our 401(k) products simple, intuitive, scalable, and secure. You'll get hands-on mentorship as you ramp, and the expectation is that you grow quickly into owning your own scope of work.

About the team

The Payroll Integrations team builds and maintains the connections that let Human Interest sync retirement plan data with hundreds of payroll providers, this is the infrastructure that makes it possible for millions of dollars in contributions to move accurately and on time, every pay period. It's a team that sits at the intersection of reliability engineering and partner ecosystem management: the work has to be correct, auditable, and resilient because at Human Interest we strive to provide the perfect 401(k) experience and that starts with this team. We're a collaborative, technically curious group that cares as much about simplifying complex systems as we do about shipping.

What you get to do every day

You will be trusted to work independently and autonomously on your tasks, with ownership of real software deliverables that matter to our customers, product, and business. Our experienced and highly-skilled team will be there to help you as needed.
You’ll get to grow your skills in coding in the context of a large-scale fintech product with a cloud-based service-oriented architecture.
You will get to apply your theoretical knowledge in analyzing software complexity, system design, data modeling, and other topics in a real-life production environment.
You’ll collaborate with highly-skilled software engineers and product experts.
You’ll gain exposure to the culture and software development lifecycle of a fast-moving tech company built on a highly-modern stack.

What you bring to the role

A Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, completed.
0 years of professional experience (excluding internships); this role is well suited to a recent graduate who hasn't yet worked in a tech role outside of an internship.
Completed coursework in applied machine learning (ML) or artificial intelligence (AI).
Proficient in using AI-powered agentic and non-agentic coding assistants for tasks like analyzing, writing, testing, or debugging software.
Proficiency in at least one modern, industry-standard, object-oriented language (e.g., JavaScript/TypeScript, Python, Kotlin).
Proficient in building web applications (frontend and backend) on top of common cloud platforms (e.g. AWS).
Proficient in applying theoretical computer science knowledge (such as data structures and algorithms) in real-life software engineering situations.