Senior Backend Engineer, AI Products Engineering San Francisco, CA

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 $1.2B 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:

Rippling's unique strength lies in its ability to automatically recognize and respond to changes and connections across multiple systems. We've built a robust platform that integrates systems traditionally dependent on custom integrations—or, in some cases, spreadsheets—covering everything from payroll to device management and beyond.

Now, Rippling is revolutionizing workforce management with AI-powered solutions that streamline business operations. Our AI Products team is focused on integrating AI into our platform and developing AI-driven products from the ground up. In this role, you'll help design and develop new AI-driven products and foundational components that enhance the functionality of our 30+ existing products.

What You'll Do:

• Collaborate with internal stakeholders to identify and implement AI capabilities within Rippling’s existing products
• Design, develop, and deploy AI-driven products and features from scratch, focusing on improving user experience and functionality
• Drive backend system development efforts by building fault-tolerant, scalable services that seamlessly integrate AI capabilities

Qualifications:

• 5+ years of software engineering experience
• Experience in developing essential platform components that enable products to scale efficiently
• Preferred experience in our technology stack: Python, Django, Golang, React, MongoDB, Presto, Pinot, Kafka, AWS
• Ability to thrive in a dynamic environment by identifying impactful areas and independently driving initiatives
• A track record of influencing and driving forward-thinking technology decisions across an organization
• Excellent communication skills, with the ability to convey complex technical ideas clearly and precisely in both written and verbal formats

Additional Information:

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 accomodations@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 40-mile 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:

135,000 - 236,250 USD per year (US San Francisco Bay Area)

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