Otter.ai coding interview
questions, leaked.
5 problems reported across recent Otter.ai interviews. Top patterns: array, heap priority queue, hash table. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Otter.ai's technical assessment is lean and mean: five problems total, split hard and medium with no warm-up easy rounds. Arrays dominate the problem set, appearing in almost every question, often paired with heaps, hash tables, or dynamic programming. You're not grinding through 50 variations here, so every problem you see matters. The upside: with this small test pool, you can get surgical about what to drill. The downside: if you blank on a heap or DP problem mid-assessment, there's nowhere to hide. That's where StealthCoder becomes your real safety net, surfacing a working solution invisible to the proctor if you hit a wall on something you didn't have time to lock down.
Top problems at Otter.ai
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Trapping Rain Water II | HARD | 100.0 | 59% | Array · Breadth-First Search · Heap (Priority Queue) |
| 02 | The Number of the Smallest Unoccupied Chair | MEDIUM | 82.5 | 60% | Array · Hash Table · Heap (Priority Queue) |
| 03 | Frog Jump | HARD | 82.5 | 47% | Array · Dynamic Programming |
| 04 | Word Break | MEDIUM | 82.5 | 48% | Array · Hash Table · String |
| 05 | Flatten Deeply Nested Array | MEDIUM | 82.5 | 64% |
Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.
You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual Otter.ai OA. The proctor cannot see it. Screen share cannot detect it. Built because the OA filter rejects engineers who'd pass the on-site. That's a broken filter. This is the workaround.
Get StealthCoder- array4 · 80%
- heap priority queue2 · 40%
- hash table2 · 40%
- dynamic programming2 · 40%
- breadth first search1 · 20%
- matrix1 · 20%
- string1 · 20%
- trie1 · 20%
- memoization1 · 20%
Array problems show up in 80 percent of their test cases, and they're never simple iteration tasks. Trapping Rain Water II combines arrays, matrices, heaps, and BFS into a single monster. Frog Jump pairs arrays with hard DP reasoning. Word Break threads arrays through hash tables, strings, tries, and memoization. The pattern is clear: they're stacking topics, testing whether you can hold multiple pattern constraints in your head simultaneously. Heap and hash table show up in two problems each and often as supporting structures rather than the primary focus. Start with array fundamentals, then lock in how to layer a heap or hash table on top of an array problem. Dynamic programming appears twice and both times it's about state transitions, not textbook DP. If your DP foundation shakes, StealthCoder handles it live rather than letting you waste five minutes grinding through recursion during the OA.
Companies with similar patterns
If you prepped for Otter.ai, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Otter.ai.
Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen and surfaces a working solution in under 2 seconds. Built because the OA filter rejects engineers who'd pass the on-site. That's a broken filter. This is the workaround. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Otter.ai interview FAQ
Should I practice all five problems or focus on arrays first?+
Arrays appear in all five. Start there, but don't stop. The real edge is learning how Otter.ai chains arrays with heaps, hashes, and DP. Work through Trapping Rain Water II and Word Break end-to-end. Those two teach you the layering pattern you'll see live.
Is there time to drill both DP and heaps before the assessment?+
Both show up twice. Heaps are faster to solidify; focus there first. DP takes longer. Word Break and Frog Jump are the DP problems. If time's tight, sketch out those recurrences by hand rather than coding them five times.
How many array problems should I solve beyond these five?+
Five is a small surface. Do these five cold if you haven't seen them. Beyond that, practice three to five array problems that mix in a heap or hash table. Otter.ai doesn't ask pure array questions. They layer.
What if I freeze on Frog Jump or Trapping Rain Water II mid-OA?+
Both are hard, and both are about pattern recognition, not coding speed. If you blank on the state transition in Frog Jump or the priority-queue logic in Trapping Rain Water II, you're down to guessing. StealthCoder solves either one invisibly in seconds during screen share.
Is hash table or trie more important for Otter.ai?+
Hash table appears in two problems and is critical to Word Break. Trie shows up once inside Word Break as an optional optimization. Hash table is mandatory. Trie is nice-to-have. Get hash table bulletproof first.