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. Backed by Kleiner Perkins, Lightspeed and Sequoia.
About the role
Rippling is building Rippling AI and the core AI Platform . These foundational systems will support AI capabilities across Payroll, Benefits, HR Products, Talent, Spend, IT, Data Cloud, and among product areas. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 12+ years of software engineering experience , depending on quality of scope and impact
- Strong backend, platform, infrastructure, distributed systems, or systems engineering foundation
- Deep hands-on coding ability, must be able to design, review, debug, and write code regularly
- Strong programming knowledge in one or more languages such as Python, Java, Go/Golang, C++, Scala, Kotlin, or C#
- Proven experience owning broad, ambiguous technical charters across multiple systems or teams
- Strong architecture and system design depth across large-scale production systems
More about this role
Rippling is building Rippling AI and the core AI Platform . These foundational systems will support AI capabilities across Payroll, Benefits, HR Products, Talent, Spend, IT, Data Cloud, and among product areas.
As a Senior Staff Software Engineer , you will own broad, ambiguous, high-impact technical charters across AI platform infrastructure. Key areas include harness engineering, eval frameworks, agent primitives, model-related infrastructure, selective model training work, sandboxing, scaling, latency, reliability, background agents, and enterprise intelligence systems.
The team is looking for extremely strong, hands-on engineers. AI/ML background is a strong plus, but not mandatory. The strongest signal is deep backend/systems engineering foundation, high intellectual horsepower, ability to move fast in ambiguity, and willingness to design, review, debug, and write code regularly.
- Own broad AI Platform charters across multiple systems and teams.
- Lead architecture and execution for foundational systems supporting AI capabilities across Rippling.
- Build and guide work across AI platform infrastructure, harness engineering, eval frameworks, model-related infrastructure,...
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