HomeBlog › Salesforce Coding Interview Questions

Salesforce Coding Interview Questions: DS&A, OOD & Values

Salesforce pairs standard data-structure problems with object-oriented design — and weights its values round heavily. Four worked problems and the full loop.

Salesforce's engineering interview is a balanced mix: solid data-structures-and-algorithms, an object-oriented design problem, and a values round that Salesforce takes seriously (its culture of "Ohana" and trust is genuinely part of the bar). The coding difficulty skews medium; the differentiators are clean, extensible code and a real fit with the company's values.

Here's the full loop with four worked problems and the habits that match how Salesforce grades.

The full interview process

StageFormatNotes
Recruiter screen30 minBackground, team, values fit
Technical phone screen45-60 min1-2 DS&A problems on a shared editor
Onsite coding (2)45-60 min eachDS&A plus an OOD-flavored problem
System design (mid/senior)45 minScalable service design + trade-offs
Values / behavioral45 minTrust, collaboration — weighted heavily

Group Anagrams (hashing)

Question: Group strings that are anagrams of each other.

Key each word by its sorted letters (or letter-count signature); group words sharing a key.

from collections import defaultdict
def groupAnagrams(strs):
    groups = defaultdict(list)
    for w in strs:
        groups[tuple(sorted(w))].append(w)
    return list(groups.values())

O(n · k log k) for n words of length k. A count-based key (length-26 tuple) makes it O(n · k) if asked to optimize.

Valid Parentheses (stack)

Question: Given a string of brackets, determine if they are validly matched and nested.

Push opening brackets; on a closing bracket, verify it matches the top of the stack. An empty stack at the end means valid.

def isValid(s):
    pairs = {')': '(', ']': '[', '}': '{'}
    stack = []
    for ch in s:
        if ch in pairs:
            if not stack or stack.pop() != pairs[ch]:
                return False
        else:
            stack.append(ch)
    return not stack

O(n) time, O(n) space. Edge cases graded: a closing bracket with an empty stack, and a non-empty stack at the end.

Merge Intervals (sorting)

Question: Merge all overlapping intervals.

Sort by start; sweep, extending the last merged interval when the next one overlaps.

def merge(intervals):
    intervals.sort(key=lambda x: x[0])
    merged = []
    for start, end in intervals:
        if merged and start <= merged[-1][1]:
            merged[-1][1] = max(merged[-1][1], end)
        else:
            merged.append([start, end])
    return merged

O(n log n). The classic bug is merged[-1][1] = end instead of max(...), which breaks on a fully-contained interval.

LRU Cache (design)

Question: Design a Least-Recently-Used cache with O(1) get and put.

A hash map for lookup plus a recency order. Python's OrderedDict gives both; be ready to build the doubly linked list by hand.

from collections import OrderedDict
class LRUCache:
    def __init__(self, capacity):
        self.cache = OrderedDict(); self.cap = capacity
    def get(self, key):
        if key not in self.cache: return -1
        self.cache.move_to_end(key); return self.cache[key]
    def put(self, key, value):
        if key in self.cache: self.cache.move_to_end(key)
        self.cache[key] = value
        if len(self.cache) > self.cap: self.cache.popitem(last=False)

O(1) get and put. Interviewers often ask for the manual doubly-linked-list version — practice the sentinel-node form.

Patterns Salesforce asks most

PatternFrequencyNote
Arrays & hashing~30% of loopsGrouping, counting, two sum
Object-oriented design~20%LRU, rate limiter, parking lot
Stack / strings~15%Parentheses, parsing
Trees / BFS-DFS~15%Traversals, level order
Intervals / sorting~10%Merge intervals, meeting rooms
Dynamic programming~10%Sequence problems

Common pitfalls specific to Salesforce

A 4-week prep plan for a Salesforce loop

  1. Week 1: Arrays, hashing, and strings — the bulk of the coding bank.
  2. Week 2: Object-oriented design from scratch (LRU, rate limiter) and trees.
  3. Week 3: System design with the cheat sheet for mid/senior loops.
  4. Week 4: Values-round stories and a solo mock.

Write clean, extensible code with live AI support

CoPilot Interview surfaces structured solutions in about 4 seconds during real Zoom and Teams calls. Free for Windows and macOS, invisible on screen-share.

Download free

FAQ

What does the Salesforce coding interview focus on?

A balanced mix of data-structures-and-algorithms (mostly arrays, hashing, strings, and trees at medium difficulty), an object-oriented design problem, and a values round that Salesforce weights heavily. Clean, extensible code is rewarded over clever tricks.

How important is the Salesforce values interview?

Very - Salesforce takes its culture of trust and collaboration seriously, and the values round is genuinely part of the hiring bar. Prepare specific stories; a strong technical loop can still fail on a weak values interview.

Is the Salesforce coding bar hard?

It skews medium rather than hard. The differentiators are reliable, bug-free code, sound object-oriented design, and consistent edge-case handling rather than solving an exotic hard problem.

Does Salesforce ask system design?

Yes, for mid and senior candidates: design a scalable service covering requirements, data model, scaling, and trade-offs. New grads typically face coding and values rounds without a full design interview.

Can CoPilot Interview help me prepare for Salesforce?

Yes. It returns optimal solutions with Big-O and clean object-oriented structure so you can rehearse the readable, extensible style Salesforce rewards. Follow Salesforce's interview rules during the live round.