Other roles at TherapyChat:Customer Success Marketing Product Manager Sales Software Engineer

How to Pass the TherapyChat Software Engineer Interview in 2026

Growth · Software Engineer Interview Guide

Interview language: English

The TherapyChat DNA (TL;DR)

Therapyside's teletherapy platform balances clinical trust with digital onboarding friction. Interviewers evaluate how candidates scale matching algorithms for Anxiety Depression Couples Therapy sessions while maintaining strict GDPR compliance and patient retention metrics.

The TherapyChat Interview Loop

Your onsite loop will typically consist of 4 rounds.

1
Round 1
Recruiter Screen
Motivation, role fit, logistics.
2
Round 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Round 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Round 4
Onsite Coding
LeetCode-hard problems, reasoning about defects, code clarity, edge cases.

The Danger Zone: Top Reasons Candidates Fail

Based on our database of TherapyChat interview outcomes, avoid these common traps:

Attempting to maintain a full standard in-memory hash map for all unique tags across millions of records
Failing to normalize timestamps across time zones prior to comparing start and end boundaries
Failing to rebalance max-heap and min-heap sizes after inserting elements
Forgetting to update boundary references (head/tail pointers) when updating nodes in the middle of the linked list

Test Yourself: Real TherapyChat Questions

Three real prompts pulled from our database.

Type · algorithms-trees

Given a binary tree representing our hierarchical clinical taxonomy (e.g., General -> Anxiety -> Social Anxiety), write an algorithm to find the Lowest Common Ancestor (LCA) of two given specialization nodes without using extra space or parent pointers.

Type · algorithms-graphs

In our clinical routing workflow, patient requests can be reassigned between specialized queues (e.g., Anxiety, Depression, Couples). How would you write an algorithm to detect circular referral loops in queue reassignment configurations?

Type · algorithms-sliding-window

Given an array representing therapist availability across recurring weekly time blocks and a patient requiring N consecutive weekly sessions at the exact same time slot, how would you find the earliest starting week where a uninterrupted recurring slot is open?

+ many more questions, signals, and worked examples

Unlock the TherapyChat rubric, free

TherapyChat Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

7 of 15 questions shown

Recruiter Screen

1
Type · motivation-fit
Why TherapyChat, and what technical challenges at the intersection of growth engineering, scheduling, and patient privacy interest you most?

Coding Screen

2
Type · algorithms-intervals
Given a schedule of available therapist consultation slots represented as start and end time intervals, and a patient's preferences and time zone availability, walk me through an efficient algorithm to find all overlapping available slots of a specified minimum duration.
3
Type · data-structures-cache
Imagine a matching pipeline where incoming patients are evaluated against therapist candidates. How would you design and implement a Least Recently Used (LRU) cache to store recent therapist profile matches in memory with O(1) time complexity for both lookup and eviction?
+ 3 more questions in this round (sign up to unlock)

System Design

4
Type · system-design-matching
Design a scalable, GDPR-compliant matching engine that pairs thousands of concurrently onboarding teletherapy patients with qualified therapists based on clinical specialties, language, availability, and retention goals.
5
Type · system-design-messaging
Design a real-time session notification and reminder system that guarantees delivery across SMS, push, and email while respecting time zone updates, retry policies, and immediate opt-out compliance.
+ 3 more questions in this round (sign up to unlock)

Onsite Coding

6
Type · algorithms-dp
Walk me through how you would write an optimal algorithm to find the maximum weighted value of non-overlapping therapy session requests on a calendar, where each request has a start time, end time, and priority weight.
7
Type · concurrency-debugging
Suppose two patients attempt to book the last available therapy slot simultaneously and both succeed, leading to a double-booking. Walk me through how you would debug this race condition and implement a lockless solution.
+ 2 more questions in this round (sign up to unlock)

Unlock all 15 TherapyChat questions, free

No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.

Unlock all 15 TherapyChat questions

Interview tracks at TherapyChat

How TherapyChat's DNA translates across functions. Pick your role.

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Practice TherapyChat interviews end-to-end

TherapyChat Mock Interview

Run a live mock interview with our AI interviewer using TherapyChat-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.

Open

STAR Stories for TherapyChat Behavioral Rounds

Build a Story Bank of your past wins, mapped to the leadership signals TherapyChat interviewers grade on. Reuse them across every behavioral round.

Open

TherapyChat Interview Prep Hub

The frameworks behind every TherapyChat round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.

Open

Interview Frameworks

CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make TherapyChat interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.

Open

Sample answers

What a strong answer to these TherapyChat interview questions shows.

A strong answer shows: Tree traversal logic and pointer manipulation; Space-constrained recursion reasoning.

A strong answer shows: Ability to translate real-world intake workflows into graph algorithms; Correct identification of time and space complexity in graph traversals.

Frequently asked questions

How long does the TherapyChat interview process take?

Most candidates spend between 4 and 8 weeks from recruiter screen to offer. The onsite loop itself runs in a single day or is split across two half-days, with debrief and offer typically within 5 business days after.

How should I prepare specifically for TherapyChat?

Focus on three things: (1) the company DNA shown above - what they actually grade for, (2) the rounds in your loop, especially the round most candidates underestimate, and (3) drilling on the question types in this guide using a structured framework like CIRCLES or STAR.

Does this apply to engineering or design roles at TherapyChat?

The DNA stays the same - what changes is the round mix. SWE candidates face coding screens instead of Product Sense; designers face portfolio reviews and design exercises. The "what they value" and behavioral signals carry across all functions.

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