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.
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","role":"At Rippling, we are not just building standalone AI features; we are constructing an autonomous operating system for work.
You will be joining the AI Platform (AI Experiences) organization—the team behind Rippling AI, the fastest-growing product in the company’s history. While adjacent AI teams focus on training core machine learning models or building background automation agents, this specific group owns the interface engineering, omni-channel runtime, and developer frameworks that make Rippling AI functional, reusable, and visible everywhere work happens.
As a Staff Engineer for AI Experiences, you will sit at the crossroads of core platform infrastructure and end-user execution. You will design the underlying primitives that allow Rippling AI to break out of a single centralized chat window and expand into every ecosystem where employees communicate (Slack, Teams, Email, CLI, and Desktop apps). Additionally, you will build the Developer Experience (DevX) abstractions that enable over 24 downstream product teams (Payroll, Spend, Insurance, etc.) to seamlessly inject native, rich, and secure AI surfaces directly into their own codebases.
This is a deeply hands-on, high-visibility role reporting directly to our engineering leadership in San Francisco, with immediate impact on our upmarket enterprise scaling strategy.
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
This posting is to fill a vacancy on our team, unless otherwise noted.
By clicking \"Apply\" you agree to Rippling's Employees, Candidates, and Workers Privacy Notice.
At Rippling, we are not just building standalone AI features; we are constructing an autonomous operating system for work.
You will be joining the AI Platform (AI Experiences) organization—the team behind Rippling AI, the fastest-growing product in the company’s history. While adjacent AI teams focus on training core machine learning models or building background automation agents, this specific group owns the interface engineering, omni-channel runtime, and developer frameworks that make Rippling AI functional, reusable, and visible everywhere work happens.
As a Staff Engineer for AI Experiences, you will sit at the crossroads of core platform infrastructure and end-user execution. You will design the underlying primitives that allow Rippling AI to break out of a single centralized chat window and expand into every ecosystem where employees communicate (Slack, Teams, Email, CLI, and Desktop apps). Additionally, you will build the Developer Experience (DevX) abstractions that enable over 24 downstream product teams (Payroll, Spend, Insurance, etc.) to seamlessly inject native, rich, and secure AI surfaces directly into their own codebases.
This is a deeply hands-on, high-visibility role reporting directly to our engineering leadership in San Francisco, with immediate impact on our upmarket enterprise scaling strategy.
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.