Why This Job is Featured on The SaaS Jobs
### Why this Role is Featured on The SaaS Jobs
This Staff Engineer role stands out as a clear example of how SaaS teams are operationalising large language models into real product workflows, not isolated experiments. The listing points to a small, focused AI product group within an established SaaS platform, where the mandate is to deliver user-facing capabilities and iterate based on what lands with customers. That combination of applied AI and accountable product delivery is becoming a defining pattern across modern SaaS.
For a long-term SaaS career, the value here is exposure to the full lifecycle of LLM-powered features: turning ambiguous product ideas into shippable experiences, integrating models into existing services, and building the evaluation and monitoring needed for production reliability. The emphasis on pragmatic architecture and de-risking tricky areas also maps well to senior SaaS engineering paths where technical judgment and execution cadence matter as much as code.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Role:
You’ll be a key engineer helping us ship real, user-facing AI at Gusto Retirement. This role is all about bias to action: owning problems end-to-end, getting working software in front of customers, and iterating quickly. You’ll work closely with a small, senior team to implement language-model-powered experiences. If you like being hands-on, making pragmatic technical decisions, working closely with product & design partners, and turning ideas into production features, you’ll be a great fit.
About the Team:
We’re a small, focused AI product team building practical, high-impact experiences to help people save for retirement at Gusto Retirement. The team is senior, collaborative, and very execution-focused—PMs bring strong ideas, and we own the execution fully. We work closely with product, design, and partner engineering teams, but keep tight ownership of our priorities and roadmap.
Here’s what you’ll do day-to-day:
- Design, build, and ship production features that use large language models to solve real customer problems.
- Implement and integrate LLMs (prompting, tool loops, evaluation, monitoring, etc).
- Make pragmatic architecture decisions, de-risk tricky areas, and keep the work unblocked.
- Partner with product and design to refine ideas, shape scope, and iterate quickly on end-to-end experiences.
- Collaborate with other engineering teams to integrate with existing systems and unblock dependencies.
- Write clear, reliable, well-tested code that ships quickly and scales well.
Here’s what we're looking for:
- 7+ years of software engineering experience building and shipping production products or platforms
- Hands-on experience implementing LLM-powered features (e.g., RAG flows, agents, tool loops, workflow automation with language models, etc)
- Strong engineering skills (e.g., services, APIs, data flows); comfortable spending most of your time coding.
- Experience running or heavily contributing to a team’s execution: sprints, Jira, scoping, and cross-functional coordination.
- Bias to action: you default to trying things, iterating, and learning, rather than getting stuck in analysis or waiting for direction.
- Clear communicator who can work well with product, design, and other engineering teams without needing a formal management title.
- Experienced with Ruby on Rails (or any comparable language), React (or any comparable library).
Our cash compensation amount for this role is targeted at $164,000-$204,000 in Denver & most remote locations, and $199,000-$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.
