Senior Staff Software Engineer at Rippling — NeverHard

About the Role Most analytics products visualize data. We're building the system that allows every workflow, product, and AI experience at Rippling to understand, reason about, and act on data. Rippling's Data Cloud powers every analytical experience across the company—from operational dashboards used by HR and IT administrators, to executive reporting, to the next generation of AI-driven workflows. Our vision is to create a unified analytical platform that combines ingestion, transformation, modeling, visualization, and AI into a seamless experience that helps customers understand and operate their businesses in real time. We're looking for a Senior Staff Front-End Engineer to define the architecture behind that vision. This is one of the most influential front-end roles at Rippling. You will own the technical direction for the visualization and analytical experience that sits on top of vast amounts of operational data and powers critical decision-making for customers around the world. You will architect the systems that transform complex, multi-modal datasets into intuitive, interactive experiences. You'll define how users explore and understand data, how visualizations scale to massive datasets, and how AI copilots translate user intent into meaningful actions across the product. The work extends well beyond traditional front-end engineering. You'll operate as a strategic technical leader across Data Cloud, partnering closely with Staff+ backend engineers, AI infrastructure teams, product leaders, and designers to build the future of analytics inside Rippling. The systems you build will become the foundation for every reporting, analytics, visualization, and AI-powered data experience across the company. What You Will Do Define and own the long-term architecture for Rippling's analytics and visualization platform Build highly performant visualization systems capable of rendering and interacting with large-scale, real-time datasets Design the core interaction models that power data exploration, reporting, dashboards, and analytical workflows across Rippling Architect the front-end systems that connect AI copilots and LLM-powered experiences directly into analytical workflows Establish scalable frameworks, design patterns, and engineering standards used by hundreds of engineers across the company Drive major architectural decisions around rendering performance, state management, data fetching, and front-end platform evolution Partner closely with Design and Product to create intuitive, consumer-grade experiences for highly complex enterprise workflows Lead and mentor a team of front-end engineers while serving as the primary front-end technical leader within Data Cloud Collaborate with backend, infrastructure, and ML teams to deliver cohesive end-to-end analytical experiences Drive large-scale front-end initiatives that improve developer productivity, product consistency, and engineering velocity across Rippling What You Will Need 10+ years of software engineering experience, including significant experience operating at the Staff or Senior Staff level Proven experience building highly interactive, enterprise-grade customer-facing products with significant technical complexity Strong understanding of modern front-end frameworks and patterns, including performance optimization at scale Experience designing systems that handle large datasets, real-time updates, virtualization, caching, and advanced client-side state management Demonstrated success leading major front-end platform initiatives or architectural transformations Strong product instincts and the ability to make independent technical decisions in highly ambiguous environments Experience mentoring senior engineers and elevating engineering organizations through technical leadership Excellent communication and collaboration skills, with experience influencing cross-functional stakeholders and senior engineering leaders Experience building analytics, visualization, BI, developer tooling, or data-centric products is highly valued Why This Role Is Unique Most front-end engineering roles focus on a single product surface. This role gives you the opportunity to define the analytical experience for an entire business platform. You'll build the systems that sit at the intersection of large-scale data, visualization, and artificial intelligence. You'll determine how users explore information, how AI interacts with business data, and how hundreds of engineers build analytical experiences on top of a shared platform. The work spans distributed systems, data infrastructure, visualization engines, AI-powered workflows, and front-end architecture at company scale. If you're excited about building the next generation of analytics experiences—and helping define how humans and AI collaborate around data—we'd love to talk. 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 accommodations@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 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. #J-18808-Ljbffr