Staff Full Stack Software Engineer (Backend) - Transition & Termination (8616)

About this role

## About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

## About the role

• Step into a high-leverage, full-stack product leadership role on the core Transition and Termination (T&T) team in San Francisco.
• You will act as an autonomous leader to drive the discovery, design, and full-stack execution of next-generation, customer-facing HR products.
• In this role, you will fill a crucial engineering leadership gap, instilling a rigorous, product-focused mindset to raise the overall execution and quality bar.
• You will tackle an incredibly complex matrix of global employment laws, modalities, and app integrations, questioning the status quo of legacy web systems and building seamless, modern workflows.

## What you will do

• Rethink and scale existing products for massive enterprise customers - identify product and technical gaps and deliver an opinionated redesigned approach.
• Build net-new, multi-modal workflows—including chat-driven, "digest-based" UIs—allowing bulk enterprise transitions to be managed efficiently using AI.
• Develop customer-facing products on top of a core temporality engine...