Senior Engineering Manager, AI Onboarding Engineering New York, NY Senior Engineering Manager, AI Onboarding Engineering •

Rippling · New York City

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Senior Engineering Manager, AI Onboarding

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.

About the Role

We are seeking a deeply technical Senior Engineering Manager to lead the AI Onboarding engineering team, a high-impact product platform team at the center of Rippling’s next phase of product growth.

This team owns some of Rippling’s most important customer-facing experiences, including company onboarding, self-serve activation, and product-led growth. You will lead the transformation of these experiences from fragmented, manual workflows into intelligent, highly automated product experiences that help customers get value from Rippling faster and unlock new growth opportunities for the business.

A major focus of this role will be reinventing company onboarding through AI. Today, onboarding requires customers to work through product-specific implementation steps and provide information across a complex set of workflows. We are building toward an AI-first experience where customers can provide documents and other artifacts up front, and intelligent agents can understand what is required, identify missing information, execute work across products, and continuously move customers toward activation with far less manual effort.

At the same time, this team is responsible for building the platform and product experiences that enable self-serve and product-led growth, including helping customers discover, evaluate, purchase, and adopt Rippling products without requiring a traditional sales-led motio.

What We Build

We build the product experiences and platform capabilities that make Rippling easier to adopt, easier to expand, and increasingly intelligent. Our core product domains include:

AI-Powered Company Onboarding: Building the next generation of company onboarding around AI agents that can ingest customer-provided documents and artifacts, understand product-specific requirements, identify missing information, orchestrate workflows across Rippling products, and automate implementation tasks. The goal is to turn a complex, multi-product implementation process into a highly automated customer experience.

Self-Serve & Product-Led Growth: Creating the shared product infrastructure and customer experiences that allow companies to discover, evaluate, purchase, activate, and expand Rippling products with less dependency on sales and implementation teams. This includes building the platform capabilities required to support standalone products and new entry points into the Rippling ecosystem.

Shared Product Experiences & Platform: Owning globally consistent customer-facing surfaces such as onboarding, navigation, home, company settings, and other shared experiences, as well as the platform abstractions that allow product teams across Rippling to integrate with them. The team is responsible for creating reusable patterns rather than solving bespoke problems for individual products.

Cross-Product Product Infrastructure: Developing the APIs, abstractions, data models, registries, workflow systems, and other platform primitives that allow dozens of Rippling products to work together through a coherent experience. This includes identifying common patterns across diverse product requirements and building systems that can scale as Rippling continues to launch new products.

You will lead a highly capable, senior-heavy engineering team operating at the intersection of product, platform, AI, and growth. The work requires both deep technical judgment and strong product instincts, with a high degree of leverage across the broader engineering organization.

What You Will Do

Lead and Mentor: Build and lead a high-performing team of senior engineers working across AI, onboarding, growth, and product platform infrastructure. Develop technical leaders who can independently own ambiguous, cross-functional problems and raise the execution bar across the organization.

Own AI-First Onboarding: Set the technical direction for transforming company onboarding into an AI-native experience. Define the architecture, abstractions, APIs, agent interfaces, and platform primitives required for AI systems to understand customer-provided information, orchestrate product workflows, validate completion, and progressively automate implementation.

Drive Product-Led Growth: Partner closely with Product and Design to build self-serve and PLG experiences that increase activation, conversion, expansion, and time-to-value. Help evolve Rippling from a primarily sales-assisted onboarding motion toward a more scalable, product-led model.

Drive AI Adoption Across Rippling: Build the shared experiences and growth mechanisms that make Rippling AI discoverable, useful, and deeply integrated into customers’ day-to-day workflows. Establish the technical foundations needed to measure and improve AI adoption across the product.

Build Scalable Product Platforms: Identify common patterns across Rippling’s product teams and turn them into durable platform abstractions. Make it easy for dozens of product teams to integra

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