Senior Staff Software Engineer, Growth Onboarding
At Gusto, we're on a mission to grow the small business economy. As a Senior Staff Product Engineer on Growth Onboarding, you'll own the experience that turns curious signups into activated, thriving customers , taking friction out of getting started and meeting customers wherever they are, from the web to SMS, WhatsApp, and third-party AI assistants like ChatGPT and Claude , working full-stack and cross-functionally as both a product builder and a founder. Responsibilities Own meaningful slices of the signup-to-activation experience end to end , from data model to UI , and ship measurable improvements to how quickly and reliably new customers get up and running. Invent and prototype net-new, 0-to-1 experiences , bringing your own ideas for how AI can reimagine onboarding, not just implementing a spec handed to you. Partner directly with Product, Design, and Data to frame problems, form hypotheses, and validate them with real customers in weeks, not quarters. Identify where AI meaningfully removes customer effort (and where a simple form is better), and build those experiences thoughtfully into the flow. Design onboarding as modular, reusable building blocks so new entry points into Gusto can be added quickly without rebuilding the foundation. Raise the engineering bar through pragmatic technical direction, high-quality code, strong reviews, and mentoring engineers around you. Make sharp scoping calls under a time box , shipping the simplest version that proves or disproves an idea, then iterating. Requirements 10 - 12+ years of software engineering experience, including building and shipping customer-facing products at scale. A product-minded engineer who starts from the customer problem and the metric that matters, not just the ticket , and who can operate independently across product, design, and data partners. Demonstrated ability to move quickly and execute with high quality: someone who ships, measures, and iterates rather than waiting for perfect certainty. Experience applying AI/LLM capabilities to real product problems , with the judgment to know where it adds value and where it adds noise , and a habit of using AI tools to work more effectively. A founder mindset: high ownership, comfort with ambiguity and greenfield problems, and a bias toward action and outcomes over output. A track record of raising the bar for teams around you , through technical leadership, mentorship, and setting standards others follow. Strong full-stack fundamentals and the versatility to work wherever the problem is (front end, back end, data). Benefits Competitive base pay Benefits Equity (RSUs) Work from office on designated days (approximately 2-3 days per week) Salary Targeted at $223,000/yr to $278,000/yr for San Francisco, CA