Rippling Interview Process & Rounds
Rippling's loop is built mostly on practical, multi-part coding rather than LeetCode. The phone screen is one problem that grows in parts, often on HackerRank, and the most reported by far is a delivery driver payment system: record deliveries and return the total cost, then pay up to a given time, then find the most drivers working at once in the past 24 hours. Other screens reported are a card-hand comparison game, a task manager that dedupes, filters and sorts tasks with parents, and a logger with independent handlers and keyword search. Several candidates passed with two parts working and the third talked through, though others were rejected after the same. Many coding rounds let you use an AI assistant, and interviewers then ask you to explain the code it wrote; one recruiter put the bar at all three parts with AI and two without. Onsite coding is in the same style, most often an expense rules engine with per-expense, per-trip and composite rules, plus an article voting service and a round that builds a small runnable web API, reported in loops through early 2026. System design, a phone-screen round on some loops and an onsite round on others, is most often a news aggregator, then a user event tracking system and a hotel booking system over third-party hotel APIs. Many loops include a hiring-manager round built around a short presentation of one past project.
Part of the full catalog of Rippling interview questions, covering every round.
Key facts
- •4 distinct round types
- •17 questions reconstructed from 170 candidate reports
- •Reports span Oct 2025 – Oct 2026
- •Refreshed monthly · last updated October 2026
The Rippling loop, from candidate reports
Rippling's loop is built mostly on practical, multi-part coding rather than LeetCode. The phone screen is one problem that grows in parts, often on HackerRank, and the most reported by far is a delivery driver payment system: record deliveries and return the total cost, then pay up to a given time, then find the most drivers working at once in the past 24 hours. Other screens reported are a card-hand comparison game, a task manager that dedupes, filters and sorts tasks with parents, and a logger with independent handlers and keyword search. Several candidates passed with two parts working and the third talked through, though others were rejected after the same. Many coding rounds let you use an AI assistant, and interviewers then ask you to explain the code it wrote; one recruiter put the bar at all three parts with AI and two without. Onsite coding is in the same style, most often an expense rules engine with per-expense, per-trip and composite rules, plus an article voting service and a round that builds a small runnable web API, reported in loops through early 2026. System design, a phone-screen round on some loops and an onsite round on others, is most often a news aggregator, then a user event tracking system and a hotel booking system over third-party hotel APIs. Many loops include a hiring-manager round built around a short presentation of one past project.
What does Rippling ask in each round?
Rippling interviews span 4distinct round types, shown below. Counts reflect distinct questions per round across the loops we’ve indexed.
- •Handling money carefully. Delivery driver payment reports keep returning to it: cents that must keep their fractions, totals returned to two decimals, and one candidate who was off by two cents.
- •Designing for the next part. Interviewers ask for code that can take new rules, hand types or handlers, and later parts reuse what you built first.
- •Discussing the return type and interface before coding, which the expense rules engine prompt asks for directly.
- •Preparing a short slide deck for the hiring-manager round: candidates describe presenting one project with a few slides and then answering detailed questions about its trade-offs, metrics and your role.
- •Rounding each delivery to the cent before adding them up. On the delivery driver payment screen this turns a $30.30 total into $30.31.
- •Counting deliveries instead of drivers in the concurrency part: the question asks for the most drivers working at once, so each driver's overlapping deliveries must be merged first.
- •Spending the screen on the first part. Candidates who passed had at least two parts working, and one report says two are required.
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