Rippling
Senior Staff Front-End Engineer – Data Cloud at Rippling
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.
About The Role Rippling’s Data Cloud underpins every analytical experience across our platform—from real-time dashboards for HR and IT admins, to executive-level insights, to the next generation of AI-driven workflows. We are building the foundational UX and visualization layer for Rippling’s end-to-end Data Cloud—uniting ingestion, transformation, modeling, and visualization so every workflow can leverage trustworthy, real-time data. This requires a front-end architecture that can interact seamlessly with large, fast-moving datasets while delivering a fluid, consumer-grade analytical experience.
What You Will Do
Own the architecture and end-to-end front-end ecosystem for Rippling’s analytics and visualization platform.
Build highly performant visualization systems capable of rendering tens of thousands of data points with smooth, real-time interactivity.
Redesign and own core analytics surfaces—including dashboards, catalog, and the analytics homepage.
Architect the front-end integration with LLM Co-Pilot, enabling conversational intent to translate directly into UI actions.
Establish scalable patterns, frameworks, and code quality standards that hundreds of engineers will build on.
Lead and mentor a team of four front-end engineers while serving as the primary FE partner to senior backend and ML org leaders.
Drive product decisions with Design and PM, ensuring a cohesive, intuitive, enterprise-grade analytical experience.
What You Will Need
Deep expertise in front-end platform architecture, performance optimization, rendering, and large-scale data visualization.
Proven experience building complex, enterprise-grade customer-facing UIs with broad surface area and high performance requirements.
Hands‑on experience solving performance challenges with large datasets (10k+ data points, high‑frequency updates, virtualization techniques, etc.).
Strong product instincts and the ability to make high‑quality, independent technical decisions that influence entire orgs.
Demonstrated leadership—uplifting teams, mentoring senior engineers, and operating as a force multiplier rather than a solo contributor.
Track record leading major re‑architecture efforts or platform transitions in fast‑moving environments.
Experience in analytics, visualization, or large-scale enterprise data products (e.g., Tableau, Snowflake, Databricks) is a strong plus.
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 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.
198,000 - 346,500 USD per year(US)
Referrals increase your chances of interviewing at Rippling by 2x.
#J-18808-Ljbffr
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.
About The Role Rippling’s Data Cloud underpins every analytical experience across our platform—from real-time dashboards for HR and IT admins, to executive-level insights, to the next generation of AI-driven workflows. We are building the foundational UX and visualization layer for Rippling’s end-to-end Data Cloud—uniting ingestion, transformation, modeling, and visualization so every workflow can leverage trustworthy, real-time data. This requires a front-end architecture that can interact seamlessly with large, fast-moving datasets while delivering a fluid, consumer-grade analytical experience.
What You Will Do
Own the architecture and end-to-end front-end ecosystem for Rippling’s analytics and visualization platform.
Build highly performant visualization systems capable of rendering tens of thousands of data points with smooth, real-time interactivity.
Redesign and own core analytics surfaces—including dashboards, catalog, and the analytics homepage.
Architect the front-end integration with LLM Co-Pilot, enabling conversational intent to translate directly into UI actions.
Establish scalable patterns, frameworks, and code quality standards that hundreds of engineers will build on.
Lead and mentor a team of four front-end engineers while serving as the primary FE partner to senior backend and ML org leaders.
Drive product decisions with Design and PM, ensuring a cohesive, intuitive, enterprise-grade analytical experience.
What You Will Need
Deep expertise in front-end platform architecture, performance optimization, rendering, and large-scale data visualization.
Proven experience building complex, enterprise-grade customer-facing UIs with broad surface area and high performance requirements.
Hands‑on experience solving performance challenges with large datasets (10k+ data points, high‑frequency updates, virtualization techniques, etc.).
Strong product instincts and the ability to make high‑quality, independent technical decisions that influence entire orgs.
Demonstrated leadership—uplifting teams, mentoring senior engineers, and operating as a force multiplier rather than a solo contributor.
Track record leading major re‑architecture efforts or platform transitions in fast‑moving environments.
Experience in analytics, visualization, or large-scale enterprise data products (e.g., Tableau, Snowflake, Databricks) is a strong plus.
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 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.
198,000 - 346,500 USD per year(US)
Referrals increase your chances of interviewing at Rippling by 2x.
#J-18808-Ljbffr