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Instacart interview notes, page 5 of 13

Large Enterprises

Most of these Instacart write-ups come from Software Engineers (88), then Data Scientists (28) and Machine Learning Engineers (5). The most reported rounds are the technical phone screen (93), the system design round (13), the behavioral / leadership round (6) and the product sense round (6).

128 interview notes · updated Jul 2026

Instacart·Software Engineer·Technical Phone Screen

May 2026
Instacart coding screen focused on building a basic task store with the four standard CRUD operations. Pretty straightforward premise but the details matter more than you'd expect.
  • Implement a task store that supports Create, Read, Update, and Delete operations. Each operation takes a task ID, and Create/Update also take a description.

“Seemed simple enough at first.”

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Instacart·Software Engineer·Technical Phone Screen

May 2026
Coding round at Instacart for a software engineer role. One problem, but it had layers. The wheelchair extension tripped me up more than I expected for something that looked like a straightforward OOP tweak.
  • You're given a priority boarding simulation for a bus. Extend it to support wheelchair passengers, where each wheelchair has a size that consumes general capacity in addition to occupying one of two dedicated wheelchair spots. Wheelchair passengers follow the same priority ordering rules, and if one can't fit you skip them and continue. Return the boarded list and the left-behind list.

“I spent the first few minutes just restating the problem back, which was probably annoying.”

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Instacart·Product Manager·Onsite - Product Sense / Strategy

May 2026
PM interview at Instacart focused on the Business Customers segment. Just one meaty strategy question but it went pretty deep.
  • You're a PM at Instacart owning the Business Customers segment. What would you do to grow adoption and retention among businesses like restaurants, retailers, and offices?

“This one sprawled in a way I didn't expect.”

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Instacart·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Instacart for a software engineering role. Two questions, both with meaningful follow-up depth expected. The project one in particular felt more like a system design disguised as a behavioral.
  • Walk me through the most impactful project you've worked on. Cover the problem, your role, the technical design, and the trade-offs you made around things like correctness vs. latency or build vs. buy.
  • Tell me about a time you had a disagreement with a teammate or stakeholder. What was the conflict, how did you navigate it, and what happened in the end?

“This is where I underestimated the depth they wanted.”

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Instacart·Software Engineer·Technical Phone Screen

May 2026
Interviewed for a software engineer role at Instacart and got a string expression evaluator problem. Pretty classic but the operator precedence piece tripped me up more than I expected.
  • Write a function that parses and evaluates a mathematical expression given as a string, supporting +, -, *, / with correct operator precedence and integer division truncating toward zero. Parentheses support is optional.

“The basic case felt fine until I realized I needed to actually handle precedence correctly, not just left-to-right.”

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Instacart·Software Engineer·Technical Phone Screen

May 2026
Instacart software engineer coding round, one big multi-level design problem that kept growing. The first two levels felt manageable but level 3's cross-tier count semantics took me longer to parse than I'd like to admit.
  • Design and implement an in-memory key-value store backed by nested maps, supporting set, get, and delete operations across multiple tiers.
  • Extend the store with a cross-tier count operation: given an outer key in tier N, count how many of its inner entries have a corresponding lookup in tier N+1 that matches a given predicate.
  • Add TTL support to the store so that entries expire after a given number of seconds and are cleaned up lazily on read.

“The basic CRUD part was fine.”

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Instacart·Product Manager·Onsite - Product Sense / Strategy

May 2026
PM interview at Instacart, one question about improving retention. Short and focused, felt more like a product sense screen than a full loop.
  • You're a PM at Instacart. How would you improve user retention?

“I started by segmenting users because retention means different things for a first-time customer versus someone who orders weekly.”

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Instacart·Data Scientist·Onsite - System Design / Architecture

May 2026
System design round at Instacart for a Data Scientist role, focused entirely on building a product catalog at e-commerce scale. Pretty heavy on infrastructure thinking for a DS position, which threw me off a bit.
  • Design a product catalog system for a large e-commerce platform supporting 100M+ products, high read traffic, and features like faceted search, inventory tracking, and internationalization.
  • How would you keep the search index in sync with the product database, and what consistency guarantees can you provide?
  • How would you handle per-SKU inventory tracking across multiple warehouses, especially during checkout when stock needs to be reliably decremented?
  • What caching strategy would you use for product detail pages, and how do you handle cache invalidation when a product is updated?
  • How would you design the API layer for browsing and searching the catalog, including pagination for large result sets?
  • How would you support internationalization for product titles, descriptions, and images across different locales?

“This is a sprawling question and I underestimated how many directions it could go.”

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Instacart·Software Engineer·Technical Phone Screen

May 2026
Instacart software engineer interview with a streaming decoding problem that looked simple on the surface but had enough edge cases to keep you busy for a while. The follow-up design discussion about production refactoring was where things got interesting.
  • You have a forward-only file or stream encoding multiple passwords via XOR with a fixed key. Each password uses a positional counter that resets per password, and a password ends when the key length is exhausted. Write a streaming decoder that returns all decoded passwords, handles EOF mid-password as malformed, and stays within bounded memory (no full-file buffering).
  • How would you refactor this decoder for production use? Walk through separating the reader, decoder, and validator into distinct components with clean interfaces, unit-testability, logging, and structured error reporting.

“The XOR part clicked fast, the boundary condition less so.”

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Instacart·Software Engineer·Technical Phone Screen

May 2026
Instacart coding round focused on extending an in-memory key-value store, specifically around scan operations with filtering and ordering. The data structure discussion was the real meat of it.
  • Given an in-memory database that stores field-value pairs under a key, implement a scan function that returns all field-value pairs for a given key, sorted alphabetically by field name, formatted as 'field(value)' strings. Return an empty list if the key doesn't exist.
  • Extend the scan function to support a prefix filter: given a key and a prefix string, return only the field-value pairs where the field name starts with that prefix, still sorted lexicographically.
  • Walk through the trade-offs between using a sorted map (like TreeMap) versus a regular HashMap with sorting done at query time, in the context of this in-memory database.

“I went with TreeMap immediately and it felt right.”

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