About the role

We use machine learning and large language models to build software which helps our internal GTM teams operate their business effectively. This manifests as either features inside of existing Rippling products or new products. In this role, you'll play the role of a backend engineer working across the stack (backend services, data pipelines, APIs) and will even have the opportunity to contribute to more ML specific tasks. Successful individuals on our team tend to operate with autonomy and alacrity, have strong customer empathy, and an ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into production.

What you will do

• Design, develop, code and test backend software systems.
• Ensure operational excellence and scale our data platform capabilities.
• Work with other teams to build AI & data-driven GTM products
• • Monitor - Proactive deal risks and insights
  • Plays - Run sales strategies
  • Research - Scale your research
  • Outreach - Launch automated campaigns

What you will need

• 6+ years of industry experience building software at some (or all) levels of the stack (foundational infra, backed, ux). You should be able to point to specific products that exist today that wouldn't have been possible without your contribution.
• Experience developing user-facing applications
• Experience in the Ads, Personalization, Sales, or similar domain
• An interest and/or experience in creating agentic AI and LLM use cases
• You are comfortable with hands-on programming
• You have a knack for communicating complex technical ideas with clarity and precision

Additional Information

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.

The pay range for this role is:

159,000 - 278,250 USD per year (US Tier 1)

159,000 - 278,250 USD per year (US San Francisco Bay Area)