Grammarly Interview Questions (30)

Grammarly is known for building large-scale AI and NLP systems that help millions of users improve their writing in real time. Because their product relies heavily on efficient text processing and high‑performance services, Grammarly’s engineering interviews emphasize strong fundamentals in data structures and algorithms along with practical problem‑solving skills.

The typical Grammarly coding interview evaluates how well you design clean solutions, reason about edge cases, and communicate your thinking. Candidates are usually asked to solve algorithmic problems similar to those found on top coding platforms but often framed around string processing, data handling, or real‑world product scenarios.

From analyzing real interview experiences, most Grammarly coding questions fall into a few recurring patterns:

• String manipulation and text processing problems
• Hash maps and frequency counting for efficient lookups
• Sliding window and two‑pointer techniques
• Trees and graph traversal for structured data problems
• Dynamic programming for optimization scenarios

The difficulty distribution is typically balanced: candidates encounter a mix of easy warm‑up problems, medium‑level algorithm challenges, and occasionally a harder optimization question. Interviewers care less about memorized tricks and more about how you break down problems and iterate toward better solutions.

On FleetCode, we’ve curated 26 real Grammarly interview questions reported by candidates and organized them by difficulty. Each problem includes explanations and implementations in Python, Java, and C++, helping you practice the exact patterns Grammarly tends to test. If you want to prepare efficiently and understand how Grammarly evaluates engineers, these problems give you a focused path to mastering their coding interview.

Preparing for a Grammarly coding interview requires a strong grasp of algorithm fundamentals and the ability to clearly explain your reasoning. While the exact format may vary by role and location, the process usually follows a structured set of technical rounds.

Typical Grammarly interview process:

• Recruiter screen (30 minutes): Discussion about your background, projects, and motivation for joining Grammarly.
• Technical phone screen (45–60 minutes): One or two coding problems solved in a shared editor. Interviewers evaluate problem‑solving approach, code clarity, and time complexity.
• Onsite or virtual onsite (3–4 rounds): Includes multiple coding interviews, a system design discussion for experienced roles, and a behavioral or collaboration round.

Across these rounds, Grammarly tends to focus on a few core algorithm categories:

• Strings and text processing: substring problems, pattern matching, and transformations
• Hash tables and counting: frequency maps and deduplication logic
• Sliding window and two pointers: especially for substring or sequence problems
• Trees and graphs: traversal, BFS/DFS, and hierarchical structures
• Dynamic programming: optimization problems involving sequences or edits

Preparation strategy: Start with array, string, and hash map problems because they appear frequently in Grammarly interviews. Then practice sliding window and tree traversal patterns. Finally, add dynamic programming and graph problems to handle harder rounds. Aim to solve problems while explaining your thought process out loud, since communication is a key evaluation factor.

Common mistakes to avoid:

• Jumping straight into coding without discussing the approach
• Ignoring edge cases such as empty strings or large inputs
• Writing complex code instead of a clean, readable solution
• Forgetting to analyze time and space complexity

Recommended timeline: Most candidates prepare for 4–8 weeks. Focus on consistent daily practice—around 2–3 coding problems per day—and review patterns regularly. Working through a curated set of real Grammarly interview questions, like the 26 problems on FleetCode, helps you focus on the patterns most likely to appear in the actual interview.