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Salesforce interview notes, page 6 of 13

Large Enterprises

Most of these Salesforce write-ups come from Software Engineers (104), then Product Managers (6) and Backend Engineers (4). The most reported rounds are the technical phone screen (65), the system design round (31), the hiring manager screen (6) and the behavioral / leadership round (5).

121 interview notes · updated Sep 2026

Salesforce·AI Engineer·Onsite - System Design / Architecture

May 2026
Project deep-dive round for an AI Engineer role at Salesforce. The whole thing was a walkthrough of a past complex project, architecture and all, so if you go in without a diagram prepared you're going to have a rough time.
  • Walk me through a complex past project: the architecture, your specific contributions, the trade-offs you made, and the measurable impact it had.

“This is the whole interview, not just one question.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026
Salesforce SWE interview, got asked a pretty standard OOP question. Nothing too wild but I fumbled parts of my explanation more than I expected.
  • Can you explain what polymorphism is?

“I knew this cold, or so I thought.”

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Salesforce·Software Engineer·Onsite - System Design / Architecture

May 2026
System design round at Salesforce for a software engineer role, single question about building a 911 emergency call routing platform. Pretty intense scope for one question and I definitely underestimated how many moving parts there were.
  • Design a 911 emergency calling service that routes calls from mobile, landline, and VoIP devices to the correct emergency dispatch center.

“I started with the happy path, caller dials 911, signal hits a tower, gets routed to a PSAP.”

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Salesforce·Software Engineer·Onsite - System Design / Architecture

May 2026
Salesforce system design round for a software engineer role. The whole thing centered on building a recommendation system end to end, which sounds manageable until you realize they want you to go deep on the ML side, the infrastructure, and the data layer all in one conversation.
  • Design a recommendation system for users and items. Walk through your model choice, how you'd handle data fetching across multiple servers with a reverse proxy, and how you'd structure the underlying data storage for users, items, and interactions.

“This was a lot to hold in one question.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026
Went through a solutions architect screen at Salesforce and got hit with a classic access control question. Pretty short exchange but it made me think harder than I expected.
  • How would you design a system to restrict certain users from accessing a website or service?

“I went straight to role-based access control and IP allowlisting, which felt fine, but I didn't think to bring up attribute-based policies or OAuth scopes until after the call.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026
Salesforce software engineering interview with a linked list problem that had two parts. Pretty straightforward conceptually but the complexity analysis at the end is where things get interesting.
  • Given a linked list, remove duplicates so each value appears only once. Walk through your approach for both sorted and unsorted versions, and analyze the time and space complexity of each.

“The sorted case felt manageable.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026
Frontend coding round at Salesforce where they had me build a traffic light component from scratch. Pretty standard UI exercise but there's more to get right than it looks.
  • Build a cycling traffic light using HTML, CSS, and JavaScript. Three circles, one active at a time, cycling red then green then yellow with configurable durations per color.

“I got the basic structure up pretty fast but the timer logic tripped me up more than I expected.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026
SQL-heavy technical screen for a full-stack role at Salesforce. One main question that branched into a few follow-ups about extending the query and handling edge cases. Pretty standard for this type of round but the follow-ups had some teeth.
  • Given a products table, an order_items table, and an orders table, write a SQL query that returns total sales, total cost, profit, and profit ratio for each product. Then walk through how you'd extend it to a per-store, per-month breakdown and how you'd handle products that have zero sales.

“The base query wasn't bad, I joined order_items to products and did the aggregation with sum(quantity * unit_price) and sum(quantity * unit_cost), derived profit from those two, then divided for the ratio.”

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Salesforce·Software Engineer·Onsite - System Design / Architecture

May 2026
System design round at Salesforce for a full-stack role, focused entirely on designing the backend for a coffee shop ordering system. Tight 30-minute window meant no time to wander, which I actually appreciated.
  • Design the backend for a coffee shop chain's mobile and in-store ordering system, covering the full flow from menu browsing through payment, order preparation, and pickup.
  • How would you handle inventory and drink modifiers, including out-of-stock items and custom options like milk substitutes or extra shots?
  • How do you route an order to the correct store and manage the barista queue once it arrives?
  • How would you integrate payment processing and ensure idempotency so duplicate charges don't occur?
  • What components would be global versus per-store, and how would you approach scaling and reliability for this system?

“I started with the happy path which was fine, but I underestimated how much time the payment and queue routing pieces would eat up.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026
Salesforce SWE interview focused on linked list manipulation, specifically around removing duplicates. The question had multiple layers to it depending on whether the list was sorted or not, and they pushed into a harder variant at the end.
  • Given the head of a singly linked list, remove duplicate nodes so each value appears at most once. How would your approach differ if the list is unsorted versus sorted?
  • What if instead of keeping one copy of each duplicate, you had to remove ALL nodes that appear more than once?

“The sorted case is pretty clean, single pass, O(n) time and constant space, just compare each node to the next and skip.”

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