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Salesforce interview notes, page 4 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·Onsite - System Design / Architecture

May 2026
Salesforce system design onsite with two distinct halves: you present your own system, then they flip it and hand you something from their world. The whole thing is deliberately loose, which sounds fun until you're actually in it.
  • Walk us through the architecture of a system you've built or worked on closely, covering components, data flow, how it scales, and the trade-offs you made.
  • Here's an architecture from our domain. What problems do you see with it, and how would you improve it?

“This sounds like a gift because you're talking about your own stuff, but I kind of rambled for the first few minutes before finding a thread.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026
Salesforce SWE interview with a bit math and bit manipulation problem. Not the hardest thing I've done but took me a minute to see the clean approach.
  • Given a positive integer n, you can add or subtract any power of 2 in a single operation. What is the minimum number of operations needed to reduce n to zero?

“Stared at this longer than I should have.”

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Salesforce·Technical Program Manager·Recruiter / HR Screen

May 2026
Short behavioral screen for a TPM role at Salesforce. Just one question from what I can tell, pretty low-key.
  • What is a skill you have that doesn't appear anywhere on your resume?

“Blanked for a second.”

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Salesforce·Software Engineer·Onsite - Coding / Algorithms

May 2026
Salesforce SWE coding round, two algorithm problems back to back. Nothing too wild conceptually but the second one has some tricky edge cases that'll bite you if you only think about it naively.
  • Given an integer array, construct two binary strings indicating for each element whether it has appeared before it (to the left) and whether it appears again after it (to the right).
  • You have a binary string where every second, all occurrences of '01' are simultaneously replaced with '10'. How many steps until the string stabilizes?

“Pretty approachable once you realize it's just two passes with a hash set.”

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Salesforce·Backend Engineer·Technical Phone Screen

May 2026
Salesforce backend round, one algorithmic problem the whole time. Pretty standard greedy/heap territory but I fumbled the implementation details more than I'd like to admit.
  • Given a list of events each with a start and end day, find the maximum number of events you can attend if you can only attend one per day.

“I knew the greedy angle pretty quickly: sort by start day, use a min-heap keyed by end day, iterate day by day and always pick the event expiring soonest.”

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Salesforce·Backend Engineer·Onsite - System Design / Architecture

May 2026
Salesforce backend engineering interview that was basically one long system design session focused on building an analytics platform for a ChatGPT-style product. The scope was pretty wide and I kept second-guessing how deep to go on each piece.
  • Design the backend of an internal analytics system for a conversational AI product. The system should collect data from production databases and service logs, compute product and reliability metrics, and serve those metrics to a dashboard used by PMs and engineers.
  • How would you ingest data from existing production services without putting extra load on those primary databases?
  • What event and metric schemas would you use for this kind of analytics platform?
  • How would you support both near-real-time metrics and historical analysis within the same system?
  • Walk through how you'd compute metrics like daily active users, conversation counts, request volume, latency percentiles, token usage, and error rates.
  • How would you design the system to slice metrics by dimensions such as time, model version, region, platform, and user segment?
  • How would you handle data freshness, correctness, deduplication, and backfills in this system?
  • How would you address privacy, access control, and operational monitoring for this analytics platform?
  • What does the API or query layer look like that a dashboard backend would call to retrieve metrics?

“This is a big one.”

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Salesforce·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Salesforce behavioral round, focused entirely on communication and mentorship. Two questions, both pretty standard for a senior engineering loop, but they pushed for real specifics rather than letting you stay vague.
  • Tell me about a time you had to communicate something difficult to a teammate or stakeholder. How did you adjust your approach?
  • Have you mentored a junior engineer? Walk me through a specific situation where they were stuck, what you did, and what the outcome was.

“I went with a story about delivering bad news to a PM mid-sprint when a dependency fell through.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026
Salesforce SWE coding round, pretty standard algorithmic stuff. The main problem was a classic heap question and they wanted you to talk through complexity tradeoffs which I wasn't fully prepared for.
  • Given an array of 2D points and an integer k, return the k points nearest to the origin. Walk through your approach and its time complexity.

“I knew to use squared distance to skip the sqrt, that part was fine.”

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Salesforce·Machine Learning Engineer·Technical Phone Screen

May 2026
Salesforce ML Engineer interview that was basically a systems/coding round disguised as a Python exercise. One meaty implementation question plus a follow-up design discussion, which I wasn't fully expecting.
  • Build a small web crawler in Python that takes a start URL, a max depth, and an output CSV path. It should stay within the same domain, fetch pages concurrently, extract URL, title, and HTTP status code from each HTML page, deduplicate by normalized URL, skip non-HTML resources, sort results by title then URL, and write everything to a CSV.
  • What are the main edge cases in a web crawler like this, and how would you evolve it into something production-ready?

“This looked manageable until I started thinking about URL normalization and what 'same domain' actually means when you have subdomains, redirects, trailing slashes.”

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Salesforce·Software Engineer·Technical Phone Screen

May 2026
Salesforce SWE interview with a single coding question, nothing too wild but it's the kind of thing that trips you up if you haven't thought about bit manipulation recently.
  • Write a function to determine whether a given number is a power of two.

“My first instinct was to just loop and keep dividing by 2, which works fine but felt clunky.”

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