Pinterest Software Engineer Interview Guide

The short answer: Pinterest's candidate hub describes four steps for every role: application review, conversations with a recruiter and the hiring manager, a team round of competency-based interviews, then a decision once every candidate for the role has finished. For new grads, Pinterest describes an online coding assessment, a recruiter screen and four 1-hour technical interviews before a hiring committee. For live questions, Pinterest says to assume AI is not allowed unless it says otherwise, though a designated section of a live technical screen may require an AI tool. Candidate guides describe the experienced-hire loop as coding, system design, behavioral and a domain deep dive. Last reviewed October 2026.

Pinterest software engineer interview: quick answers

The Pinterest software engineer role

What Pinterest engineers work on, the skills its job postings ask for, and what a normal week looks like.

Pinterest software engineer levels and pay

Your level sets the bar you are interviewed against and the pay band of the offer.

Pinterest's postings do not state levels. Candidate-reported pay data places Software Engineer I through Staff at IC13 to IC16, with Sr. Staff and Principal assumed above them, so the table uses posting titles.

Pay in Pinterest's US job postings

Pinterest's postings print one national base salary range for US-based applicants, not split by location, and say the role is also eligible for equity.

The ranges are very wide (Software Engineer II spans $124K to $255K), so a posting says little about where an offer lands. Rows are labeled by posting title because postings state no level, Staff floors vary by posting from $177K to $208K, and machine learning engineer postings are left out. Ranges seen October 27, 2026.

Pinterest software engineer interview process

Pinterest's candidate hub gives a process that applies to every role, and a 2024 Pinterest post gives the new grad steps. The split of the experienced-hire team round comes from candidate guides and varies by source.

Based on Pinterest's own pages and candidate reports.

Pinterest says timelines vary by role and the recruiter sets expectations on the first call; candidate guides report three to five weeks. Because the team debriefs only after every candidate finishes, the decision is comparative and can take longer than your last interview suggests. Last reviewed October 2026.

What is different at Pinterest

• AI is required in one place and banned in others. Pinterest says some take-homes and a designated section of a live technical screen may ask you to use an AI tool, judging your prompting, how you review its suggestions and how you own the result. Other parts ban AI to test your foundational knowledge.
• Explaining your approach matters most. Every Pinterest software engineer posting says the most important thing is that you can always explain your approach.
• A comparative decision. Pinterest's team debriefs only after all candidates for the role finish, and a hiring committee decides on university hires.
• A round matched to your track. Candidate guides describe a domain deep dive or project review that can affect the level you are offered.
• AI fluency is screened for, and AI does not decide. Pinterest calls AI fluency essential and says interview questions screen for it, while AI-assisted tools in recruiting are not used to make hiring decisions.
• Remote is common. Many software engineer roles are open as Remote US under PinFlex, and some require office visits only a few times a year.

Pinterest software engineer interview questions

Coding problems from our bank tagged to Pinterest, then design, fundamentals and behavioral prompts we wrote for this guide.

1from typing import List, Tuple
2
3def diversify(pins: List[Tuple[str, str]]) -> List[str]:
4    """Return pin ids reordered so the same board does not repeat back to back where possible."""
5    pass

1import heapq
2from collections import defaultdict, deque
3from typing import List, Tuple
4
5def diversify(pins: List[Tuple[str, str]]) -> List[str]:
6    queues = defaultdict(deque)  # board -> ranks of its remaining pins, best first
7    for rank, (_, board) in enumerate(pins):
8        queues[board].append(rank)
9    heap = [(q[0], board) for board, q in queues.items()]  # best remaining rank per board
10    heapq.heapify(heap)
11    out, last = [], None
12    while heap:
13        rank, board = heapq.heappop(heap)
14        if board == last and heap:
15            held = (rank, board)  # same board as the last pin: hold it back
16            rank, board = heapq.heappop(heap)
17            heapq.heappush(heap, held)
18        out.append(pins[rank][0])
19        last = board
20        queues[board].popleft()
21        if queues[board]:
22            heapq.heappush(heap, (queues[board][0], board))
23    return out
24
25# Complexity: O(n log b) time for n pins across b boards; O(n) space.

How to prepare

A plan for the Pinterest loop, most important first:

1. Practice explaining your approach out loud while you code. Every Pinterest software engineer posting says this matters most.
2. Solve medium data structures and algorithms problems in code that runs, and test each one yourself, including empty and null inputs.
3. Practice a timed coding session with an AI tool (prompting, reviewing its suggestions, owning the result) and the same session without one.
4. Practice system design for serving, notifications and indexing at scale, with numbers for traffic and latency.
5. Prepare situation-behavior-impact stories about projects you led end to end, and a deep dive on one project for the domain or project review round.
6. Ask your recruiter about the loop's structure and competencies, read Pinterest's AI philosophy page, and mention competing timelines early.

Practice path

Courses that cover the rounds above:

• Data Structures and Algorithms
• System Design
• SQL