Salesforce interview notes, page 7 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·Software Engineer·Technical Phone Screen

May 2026

Salesforce full-stack round that was heavier on functional programming concepts than I expected. The currying question sounds straightforward but the generalization part is where they actually want to see how you think.

Given a helper function addTwoNumbers(a, b) that returns a + b, implement a curried function addThreeNumbers so that addThreeNumbers(a)(b)(c) returns a + b + c. Then discuss how you'd generalize this to handle N numbers.

“The three-number part clicked pretty fast since you just chain the helper twice.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026

Salesforce software engineer coding round, pretty much one big linked list problem with multiple variants. They wanted full solutions, complexity analysis, and edge case tests all in one go, which felt like a lot to juggle in real time.

Given a singly linked list, remove duplicate values in-place. For a sorted list, delete repeated nodes so each value appears once using O(1) extra space. For an unsorted list, preserve the first occurrence of each value and provide two solutions: one using a hash set and one using the runner technique without extra memory. Define your ListNode type, explain correctness, analyze time and space complexity for each approach, and include tests for edge cases like empty list, single node, all duplicates, and no duplicates.

“This was way more layered than I expected for what sounded like a warmup question.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026

Salesforce coding round, got hit with the LFU cache problem. Classic hard-tier design question that looks manageable until you remember the O(1) constraint applies to both operations.

Design and implement an LFU (Least Frequently Used) cache class with get and put operations, both running in O(1) average time. On capacity overflow, evict the least frequently used key, and break ties by recency.

“I knew the LRU version cold, so I figured this would be a small step up.”

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Salesforce·Product Manager·Onsite - Product Sense / Strategy

May 2026

Salesforce PM interview with a market sizing question about Slack. Pretty standard estimation exercise but it made me realize how little I'd prepped for that kind of problem.

How would you estimate the total number of Slack users?

“I started with a top-down approach, global workforce size, filtered for knowledge workers, then tried to layer in adoption rates.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026

Resume walkthrough at Salesforce for a full-stack role. Thirty minutes, pretty conversational, they wanted to hear about specific projects and then pivoted into the usual behavioral territory toward the end.

Walk me through one or two of the most impactful projects on your resume. What was your role, what technical decisions did you make, and what were the outcomes?
What motivated you to make the technical decisions you described, and what have you learned recently that's changed how you approach problems like that?
Tell me about a conflict or challenge you faced on a project and how you handled it.

“This was the bulk of the session.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026

Frontend coding round at Salesforce, one question the whole time: build a traffic light component in React. Seemed straightforward until they started asking about cleanup and accessibility.

Build a Traffic Light component that cycles through Red, Green, and Yellow states with configurable durations for each state. Handle timer cleanup, expose start/stop/reset controls, and discuss accessibility considerations.

“I got the basic render and cycling logic down pretty quick, but the timer cleanup part is where I started fumbling.”

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Salesforce·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Salesforce software engineer interview that went deep on Kubernetes internals, production debugging, and platform security. Three meaty questions back to back with no warmup fluff, which I appreciated but also was not fully ready for.

Walk through each component of the Kubernetes control plane and explain what the worker nodes are responsible for.
A deployment rollout is stuck in CrashLoopBackOff. What kubectl commands do you run and what are you looking for at each step?
Design a security hardening plan for a Kubernetes cluster and an end-to-end CI/CD pipeline on a managed Kubernetes service that supports canary releases and rollbacks.

“Felt okay on this one.”

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Salesforce·Software Engineer·Technical Phone Screen

Jun 2026

Salesforce SWE interview with a pretty bare-bones coding problem. Nothing fancy, just date math.

Given two dates, calculate the number of days between them.

“Seems trivial until you start thinking about edge cases like leap years, different month lengths, same-day input.”

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Salesforce·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Salesforce system design round, one big question about building a coffee shop ordering platform end to end. Pretty thorough scope, they wanted everything from the data model to API surface to scaling across stores. Left feeling okay about it but not great.

Design a complete end-to-end ordering system for a coffee shop chain, covering how customers place orders, how those orders reach the barista, payment, and loyalty rewards.
What are the trade-offs between building this as a monolith versus splitting it into microservices, and how would your choice affect the team's ability to scale?
Should order routing to the barista queue be synchronous or asynchronous, and what breaks if you pick the wrong one?
How would you handle out-of-stock items, and where does that logic live in your architecture?
Walk me through the data model for orders, including how you'd represent modifiers and pricing at the time of purchase.
What does your API surface look like for creating an order, adding items, applying a promo code, and checking order status?
How would you scale this system across hundreds of store locations without the architecture falling apart?

“The scope was bigger than I expected.”

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Salesforce·Software Engineer·Technical Phone Screen

Jun 2026

SQL-heavy technical screen for a full-stack role at Salesforce. One question, but it had enough moving parts to trip you up if you're not careful about date filtering across different database engines.

Given a transactions table with user_id, amount, and transaction_date columns, write a SQL query to find the user with the highest total spend in the previous calendar month. How do you handle the date filtering across different DB engines, and what happens if two users are tied?

“The core aggregation is straightforward but I fumbled the date part a bit.”

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