Senior Engineering Manager, AI Onboarding & Growth

Role details

About the Role We are seeking a deeply technical Senior Engineering Manager to lead the AI Onboarding & Growth 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, product-led growth, and the surfaces that drive adoption of Rippling’s AI products. 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 motion. This includes driving adoption of Rippling AI across the product and creating the shared infrastructure and experiences that allow new Rippling products to scale efficiently. 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. AI Adoption & Growth: Building product surfaces, experiences, and experimentation infrastructure that increase awareness, engagement, and adoption of Rippling AI across the broader Rippling product portfolio. This team will help make AI a natural and valuable part of the customer experience, rather than a separate destination. 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 integrate with shared experiences without requiring the platform team to build bespoke solutions for every request. Own High-Traffic Customer Experiences: Set the technical and product direction for critical customer-facing surfaces, balancing usability, performance, reliability, experimentation velocity, and architectural quality across some of Rippling’s most heavily trafficked experiences. Stay Deeply Technical: Participate directly in architecture and system design, par