Grammarly, the AI writing assistant, is now a product of a company that renamed itself Superhuman on October 29, 2025, alongside Coda and Superhuman Mail, so engineering roles may be posted under either name. Candidates describe a HackerRank technical screen, a project presentation for the hiring manager, and an onsite with product-focused coding, system design and two values interviews built around its EAGER values. This page covers what Grammarly builds and who it hires, the process candidates commonly report, the technical depth the teams care about, representative problem types, what interviewers score, and a three-week prep plan.
What Grammarly builds and who it hires
Grammarly's engineers build the writing assistant that runs in browsers, desktop apps and mobile keyboards; the language and AI systems behind its suggestions; Coda's documents, acquired in December 2024; Superhuman Mail, acquired in 2025; and Superhuman Go, an assistant that works across apps, announced with the rebrand. Job posts mention Clojure and JVM languages for the core language team alongside Java, Kotlin, Python and TypeScript, and the engineering blog includes a post titled Running Lisp in Production.
- Client engineers: the browser extension, desktop apps and editor integrations in TypeScript.
- Core language and AI engineers: natural language processing and the models behind suggestions.
- Back-end and platform engineers: JVM services, data and infrastructure.
- Mobile engineers: the keyboard apps and Superhuman Mail clients.
What the process tends to look like
| Stage | What happens | How to prepare |
|---|---|---|
| Recruiter call | About 30 minutes, which can include STAR-style behavioral questions | A short story about a project you are proud of |
| Technical screen | About an hour of medium-level coding in HackerRank; an internship pipeline in Berlin reported a longer HackerRank challenge instead | Timed medium problems on strings and trees |
| Hiring-manager screen | A presentation and deep dive into a complex project you worked on or led | Prepare slides or a diagram in advance |
| Onsite | About five and a half hours, possibly split over days: a product intuition and domain round, system design, coding and CS fundamentals, a coffee chat with future teammates, and two values interviews | Text-handling practice, one real-time design and EAGER stories |
Processes differ by team, level and office and change over time, so treat this as the common shape candidates report and confirm the specifics with your recruiter.
Text, real-time suggestions and EAGER
Text offsets. Suggestions point at positions in a document the user keeps editing, and every insert or delete shifts the positions after it. Practice transforming ranges after edits, merging overlapping corrections and applying a list of edits in the right order.
Real-time suggestions. A design question might ask how suggestions reach the user while they type. Cover sending only changed text, debouncing, caching, rate limits with a token bucket, client-server separation, and what the user sees when the service is slow. Our NLP interview questions and LLM interview questions cover the language side.
Product intuition. One onsite round tests product sense and domain expertise. Think through what happens when a suggestion arrives late, is wrong, or appears in a sensitive context, and how you would measure whether a change helped writers.
EAGER values. Grammarly describes its values as EAGER: ethical, adaptable, gritty, empathetic and remarkable. Candidates report two values interviews, one with the hiring manager and one with someone outside the team, focused on past work, strengths and weaknesses.
Representative problem types
These are the kinds of problems candidates describe, not a leaked question list. Practice the category, not the exact question.
- Adjust suggestion ranges after the user inserts or deletes text.
- Apply a list of edits to a string or remove adjacent duplicates.
- Implement a rate limiter that allows N requests per time window.
- Review multithreaded code for race conditions, a type reported for a senior candidate.
- Design real-time writing suggestions for a document editor.
- Design collaborative editing or a notification system.
- Medium problems on strings, trees, dynamic programming and parsing.
What interviewers score
- Working code: a solution that runs, handles edge cases and is readable by the next engineer.
- Practical judgment: the trade-offs you name and the simplest design that meets the requirement.
- Product sense: understanding who the user is and what failure looks like for them.
- Ownership: examples where you shipped, measured and fixed things yourself.
The behavioral side
Technical rounds decide most outcomes, but every Grammarly loop also asks about how you work. Prepare a short story for each of these, with a result and what you learned:
- Something you shipped end to end. Cover the user problem, your decisions, what you measured and what you would change.
- A disagreement with a teammate. Show how you made the decision on evidence and kept the relationship.
- Why this company? Connect its product and engineering problems to the work you want to do next.
Structures and sample answers for the common questions are in our software engineer behavioral answers guide.
A three-week prep plan
- Week 1: practical coding: build small features against an API, parse and transform data, and write tests, in the language you will interview in.
- Week 2: system design for the company's domain, plus two behavioral stories about shipping and fixing something under pressure.
- Week 3: timed mixed problems, a mock interview every other day, and research into the product and its engineering blog.
For practice lists, use LeetCode company-tagged questions and the NeetCode 150 roadmap; for design rounds, read system design building blocks; and compare the practical style of Stripe.
Where CoPilot Interview fits
Most of a Grammarly loop is spoken: you explain an approach, defend a trade-off and talk through your past work. CoPilot Interview is an AI interview assistant whose free AI mock interview builds technical and behavioral questions from your résumé and the job description, reads them aloud and scores each spoken answer out of ten, so you can rehearse the explanation as well as the code. The free plan gives 15 minutes a day of live help in sessions of up to 15 minutes, with AI mock interviews included. Online assessments and many coding rounds forbid outside help, so practice beforehand and follow your employer's rules on the day.
Disclosure: CoPilot Interview is our product, so weigh what we say about it accordingly.
Frequently asked questions
What programming language should I use in a Grammarly interview?
Coding rounds generally let you choose your language. Grammarly's teams use JVM languages such as Java, Kotlin and Clojure on the back end, Python for machine learning, and TypeScript in its clients, so use one of these if you are fluent.
Does Grammarly send an online assessment?
Candidates more often describe a live HackerRank technical screen than an unattended test, though internship candidates in Berlin reported a longer HackerRank challenge as the first round. Ask your recruiter.
Is Grammarly still hiring under the Grammarly name?
The company changed its name to Superhuman on October 29, 2025, and Grammarly continues as a product, so job posts, emails and interview invitations may use either name. Prepare for the product team you are joining, whether that is Grammarly, Coda or Superhuman Mail.
How should I prepare for Grammarly coding questions?
Practice practical problems under time limits, build small features against an API in your interview language, and prepare one system design in Grammarly's domain. Explain every solution out loud, because follow-up questions about trade-offs matter as much as the first answer.
Can I use AI tools in a Grammarly interview?
Only if the instructions you receive say so. Online assessments and live coding rounds generally forbid outside help, and some companies now state their AI policy in the invitation. Use AI to practice beforehand, and follow your employer's rules.
Practice this interview before the real one
The AI mock interview builds questions from your resume and the job description, reads them aloud and scores each spoken answer out of 10. Included on the free plan.
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