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.
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This team sits at the intersection of platform engineering, AI infrastructure, developer experience, and product innovation. You'll lead a small, high-impact team building the underlying infrastructure that powers AI across Rippling—from retrieval systems and reasoning loops to observability, memory, tooling, and execution environments.
This is not a traditional ML Infrastructure role. While familiarity with machine learning systems is valuable, the focus is on building production-grade AI platforms and developer infrastructure that enable hundreds of engineers and AI-powered products across Rippling.
You'll partner closely with engineering leaders, product leadership, and AI researchers to define the future of AI at Rippling while helping scale one of the company's fastest-growing product areas.
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.\t\t
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By clicking \"Apply\" you agree to Rippling's Employees, Candidates, and Workers Privacy Notice.
Rippling AI is becoming a foundational platform across the company, powering everything from intelligent agents and automations to dashboards, and next-generation product experiences. As we rapidly scale adoption, we're looking for an Engineering Manager to lead a critical AI Platform Infrastructure team responsible for the core systems that make AI products reliable, performant, and scalable.
This team sits at the intersection of platform engineering, AI infrastructure, developer experience, and product innovation. You'll lead a small, high-impact team building the underlying infrastructure that powers AI across Rippling—from retrieval systems and reasoning loops to observability, memory, tooling, and execution environments.
This is not a traditional ML Infrastructure role. While familiarity with machine learning systems is valuable, the focus is on building production-grade AI platforms and developer infrastructure that enable hundreds of engineers and AI-powered products across Rippling.
You'll partner closely with engineering leaders, product leadership, and AI researchers to define the future of AI at Rippling while helping scale one of the company's fastest-growing product areas.
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.\t\t
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