Senior Software Engineer, Ai Platform (Full Stack)

Details of the offer

Senior Software Engineer, AI Platform (Full Stack)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. 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. Your work will transform how our Engineering teams build and incorporate AI into our software development practices at Rippling.
What You'll Do: Collaborate with product managers, designers, and engineers to identify and implement AI capabilities within Rippling's existing productsDesign, develop, and deploy AI-driven products and features from scratch, focusing on improving user experience and functionalityHelp lead development efforts across the stack, building both backend services and frontend interfaces that integrate AI capabilities seamlesslyQualifications: 5+ years of software engineering experienceExperience in our technology stack: Python, Django, Golang, React, MongoDB, Presto, Pinot, Kafka, AWSIndustry experience building frontend components in ReactAbility to thrive in a full-stack environment by identifying areas of impact and independently pursuing themA track record of influencing and enabling forward-thinking technology decisions across a broad organizationExcellent ability to communicate complex technical ideas with clarity and precision in written and verbal formatsAdditional 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 ******.
Rippling highly values in-office collaboration. Employees living within 30 miles of an office are expected to work onsite three days a week with those living 30-49.9 miles away expected to be in the office one day a week. Employees living over 50 miles away are required to relocate within 30 miles of an office. To enhance team cohesiveness, new employees are asked to work onsite three days a week for their first six months.
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.
The pay range for this role is: 135,000 - 236,250 USD per year (US San Francisco Bay Area)

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Nominal Salary: To be agreed

Requirements

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