GitHub Interview Process 2026: PR Take-Home, 5 Stages & 12 Questions

Last updated: November 2026

TL;DR

GitHub’s interview process has five stages: a talent (recruiter) conversation, a hiring manager conversation, a tool-based assessment (a coding exercise submitted as a pull request for engineers, or a writing or design exercise for other roles), a set of interviews with several “Hubbers” from across the company, and a decision delivered by your recruiter. Candidate reports range from two weeks to four months end to end, and Glassdoor’s candidate-reported average is about five weeks. Practice the take-home walkthrough, the system design round and the values interview in OphyAI Interview Practice, and use OphyAI Interview Copilot for real-time answer suggestions in the live rounds on Zoom, Teams or Meet.

Quick Answer: GitHub Interview Process

Stage	What to prepare
Talent conversation	Why GitHub now (Copilot, agents, CoreAI), your remote and async working style, location and pay expectations.
Hiring manager conversation	A deep dive on your skills mapped to the role, and GitHub’s six values and three leadership principles.
Tool-based assessment	Engineers: a timed exercise in a private repo, submitted as a pull request and scored against tests and a rubric. Others: a writing, design or content assignment.
Interviews (the loop)	Take-home walkthrough or pairing, system design, code review, and behavioral rounds with Hubbers from several teams.
Decision	Your recruiter calls with the outcome; ask about level, base within the posted range, bonus and stock.

Action Plan: Prepare for GitHub by Round

Round	What GitHub tests	What to do before the interview
Hiring manager	Depth in the skills the posting lists; ownership; customer focus	Map 6-8 STAR stories to “Own the outcome”, “Ship to learn” and “Customer-obsessed”
Take-home (pull request)	Working code, tests, readable diffs, a clear PR description, respect for the time box	Practice a 3-4 hour exercise end to end: branch, small commits, tests, a PR body a reviewer can approve
System design	Scale and reliability for developer infrastructure: Git storage, Actions, search, webhooks, rate limits	Rehearse 3 GitHub-shaped designs out loud, each with failure modes and a migration plan
Code review	Finding real bugs, judging severity, writing kind and specific comments	Review 5 open-source PRs and write comments as if they were going to the author
Values and behavioral	Collaboration across time zones, written communication, growth mindset, inclusion	Prepare stories on disagreeing in writing, unblocking someone you never met, and changing your mind

If you only have one week, spend it on the pull request and its walkthrough, because the follow-up rounds build on what you submitted.

What Makes GitHub Different

GitHub is the developer platform Microsoft acquired in 2018. Its job postings in October 2026 describe it as “the world’s leading platform for agentic software development, powered by Copilot,” used by more than 180 million developers and more than 90% of the Fortune 100. Two changes since 2025 shape hiring. In August 2025 CEO Thomas Dohmke announced he would leave at the end of 2025, and Microsoft did not name a replacement CEO; GitHub’s leadership now sits inside Microsoft’s CoreAI organization led by Jay Parikh. In October 2025 GitHub’s CTO Vladimir Fedorov told staff that GitHub would move off its own data centers onto Azure, and that teams would put the migration ahead of some feature work.

Several traits shape what GitHub interviewers look for:

Remote-first by default. GitHub’s careers site calls its culture “remote-first,” and on October 21, 2026, 67 of the 71 roles on github.careers were listed as remote (57 US Remote, 7 UK Remote, 2 Canada Remote, 1 Germany Remote). Interviewers listen for how you work asynchronously, in writing and across time zones.
The work happens in pull requests. GitHub’s engineering blog says it wants the technical interview “as similar as possible to the way we work at GitHub,” so engineers write code in a repo and open a pull request with their own editor, tools and the internet.
Six published values. GitHub’s job postings list them: Customer-obsessed, Ship to learn, Growth mindset, Own the outcome, Better together, and Diverse and inclusive. Three leadership principles sit on top: Create clarity, Generate energy, Deliver success. The careers page tells candidates to review them before the hiring manager conversation.
AI is now part of the job description. A Software Engineer III posting asks for experience “using AI-assisted coding and productivity tools,” and a Senior Product Manager posting asks for “daily use of AI-assisted development and agentic developer tools.” Expect to be asked how you use Copilot or agents, and how you review what they produce.

OphyAI Interview Copilot gives real-time answer suggestions and a live transcript during Zoom, Teams or Meet rounds. In the desktop app its window is excluded from screen sharing, though not from your webcam or a person in the room.

Interview Process Overview

GitHub’s careers page lists the stages in this order. Durations below are candidate-reported or typical ranges; GitHub does not publish them.

Stage	Format	Duration	Timeline
Talent conversation	Video call with a recruiter	30 minutes (reported)	Week 1
Hiring manager conversation	Video call	30-60 minutes (typical)	Week 1-2
Tool-based assessment	Coding exercise in a private repo, or a writing or design assignment	Time-boxed; one candidate reported 4 hours, GitHub has not published a limit	Week 2-3
Interviews	3-4 video interviews, often over one or two days (third-party guides)	45-60 minutes each (typical)	Week 3-5
Decision and offer	Recruiter call, then written offer	-	Week 4-6, sometimes much longer

The talent conversation covers experience, location and pay. GitHub’s job posts publish a US base range (for example, $124,000-$329,200 for Senior Software Engineer), so you can anchor your expectations to it. Rehearse a 60-second “why GitHub” answer in OphyAI Interview Practice and trim it until it names the team’s product.

The hiring manager conversation is where GitHub says to “deep dive into your skills and showcase how they align with the role.” The careers page tells candidates to review the leadership principles and values first and to prepare questions focused on the role. Drill a behavioral mock in OphyAI Interview Practice and check that every story ends with a measurable outcome.

The tool-based assessment is covered in its own section below. For non-engineering roles GitHub describes it as “a content or writing assignment”; candidates for design roles report a design exercise. Rehearse explaining your submission in a technical mock in OphyAI Interview Practice, where follow-ups ask why you made each choice.

The interviews put you in front of “a multi-talented group of Hubbers from various corners of the company.” Engineering candidates report a mix of a take-home follow-up or pairing session, a system design round, a coding or code review round, and a behavioral round; several candidates also mention a diversity and inclusion conversation. Run one full mock loop in OphyAI Interview Practice and review the transcript for answers that ran long; on the real calls, OphyAI Interview Copilot suggests answers in real time.

The Pull Request Take-Home

GitHub’s engineering blog post “How GitHub does take home technical interviews” (Andy McKay, March 2022) is the only first-party description of the coding exercise, and it explains the mechanics in unusual detail:

You pick a programming language, then get an email inviting you to start whenever you are ready.
A GitHub app called Interview-bot creates a private repository with the exercise files, issues and pull requests, and a timer starts. You can clone locally or use Codespaces, with any editor, OS and tooling.
You submit by opening a pull request. The PR is copied back with your name removed, so the reviewer sees Interview-bot as the author.
Automated tests run through GitHub Actions, and an engineer from a per-language review team scores it against a rubric, posting a scorecard and marking the PR “Approve” (pass) or “Request changes” (fail).
Time limits exist on purpose: GitHub says it wants to avoid favoring candidates “who have more time to invest in the solution.”

What reviewers look for. Correctness against the automated tests, then the things a GitHub reviewer cares about in daily work: small, readable commits; tests for the edge cases the issues describe; a PR description that says what changed, why, and what you would do next; and no scope creep past the time box. GitHub has not published the rubric itself.

Red flags. Overrunning the time box to gold-plate, one giant commit, a blank PR description, failing tests you did not mention, and ignoring the issues that came with the repo.

Details may have changed since 2022, so confirm the time limit with your recruiter. Our GitHub take-home interview guide walks through each Interview-bot step and the follow-up round. To rehearse, take a practice prompt into OphyAI Coding Interview to compare approaches, then rebuild it yourself as a timed PR.

Role-Specific Breakdowns

Software Engineer

Most open roles are engineering: on October 21, 2026, github.careers listed work on Git Systems, GitHub Actions, Code Search, Copilot Code Review, Copilot agents, billing, identity and database infrastructure. Most engineering postings list languages such as Ruby, Python, C#, C++ and Rust, and front-end roles add TypeScript and React.

What they test. Practical coding (the take-home), the ability to explain and extend your own code, system design for developer infrastructure, and code review judgment. Candidate reports on Glassdoor also describe a 60-minute online coding problem at LeetCode-medium level for some teams instead of, or alongside, the take-home.

Red flags. Algorithm-only prep with no practice explaining a diff; system designs that ignore Git’s data model, webhooks or rate limits; and no view on how AI-generated code should be reviewed.

How to prepare. Rehearse webhook, Actions-scheduler and rate-limiter designs out loud. Use OphyAI Coding Interview to check approaches on practice problems, and Coding Copilot in the desktop app during the live coding round. See our system design interview guide for a framework.

Product Manager

GitHub posted Senior, Staff and Principal PM roles in September 2026, with a stated requirement for daily hands-on use of AI coding and agent tools.

What they test. Developer empathy (have you used the product you would own), prioritization against enterprise and open-source users at once, metrics, and written communication. GitHub’s careers page says non-coding roles may get a content or writing assignment instead of a coding exercise.

Red flags. Talking about developers in the third person, metrics that stop at “adoption,” and no opinion about where agents fit in a pull request workflow.

How to prepare. Use the feature area hands-on for a week and write a one-page product brief on one change. Run a product sense case in OphyAI Interview Practice and make sure each answer names a metric and a trade-off. Our product manager interview questions cover the common prompts.

Product Design and Design Engineering

GitHub’s open design roles in 2026 were titled Design Engineer (III, Senior and Staff), a title that typically combines product design with front-end code. Glassdoor candidate reports for product designer roles describe a one-hour screen, a design challenge capped at about five hours, then a video panel with a 30-minute portfolio walkthrough and two 45-minute interviews with designers.

What they test. Craft and systems thinking, accessibility (GitHub posted a Senior Accessibility Program Manager role in October 2026), and whether you can explain decisions in writing to a remote team.

How to prepare. Pick two case studies and tell each in five minutes: problem, constraint, decision, result. Rehearse the portfolio Q&A in OphyAI Interview Practice so the follow-up questions come from a mock first.

Security

October 2026 security postings included Senior Software Engineer, Vulnerability Management; Senior Incident Response Analyst; Staff Security Data Engineer; and Senior Risk Analyst (scoping against NIST CSF and FAIR-style risk quantification).

What they test. For engineering roles, the same coding and design bar plus threat modeling of developer workflows (secrets in repos, supply-chain attacks on Actions, token scopes). For analyst roles, incident walkthroughs, detection logic and risk communication.

Red flags. Generic security answers that never mention how a compromised dependency or leaked token would move through GitHub, and incident stories with no timeline.

How to prepare. Walk through one real incident you handled minute by minute, and threat-model “a malicious pull request to a public repo with Actions enabled.” Practice in OphyAI Interview Practice technical format, and see our cybersecurity interview questions.

Sales and Solutions Engineering

github.careers listed no sales or solutions engineering openings on October 21, 2026. GitHub-focused presales roles have appeared as Microsoft postings, for example a “Software Development Presales Solution Engineer” selling GitHub Copilot and GitHub Enterprise; if your role is posted by Microsoft, Microsoft’s process applies (see our Microsoft interview guide).

What they test. Discovery with technical buyers, a live demo or architecture presentation (third-party guides describe a reference-architecture demo round), handling objections about Copilot security and IP, and migration planning from other tools.

Red flags. A feature tour with no business outcome, and no answer for “how do we roll Copilot out to 5,000 developers safely.”

How to prepare. Build a 15-minute demo of GitHub Advanced Security or Copilot for a fictional enterprise, with one slide of outcomes. Rehearse discovery calls and objection handling in OphyAI Interview Practice with a skeptical buyer persona.

Common Questions with Frameworks

Questions marked “reported” come from candidate accounts on Glassdoor, Taro and prep sites; the others are practice prompts built from GitHub’s own postings and products.

1. “Walk me through your pull request. What would you change with another day?” (Take-home, reported)

Approach: Start with the problem in one sentence, then the structure of your change, then the tests. Name two improvements unprompted.

2. “Review this pull request and leave the comments you would leave on a teammate’s PR.” (Code review, reported)

Approach: Read the description first, then the tests, then the diff. Rank issues by severity (bug, security, maintainability, style), suggest fixes, and keep the tone specific and kind. Say what you would approve once fixed.

3. “Design a webhook delivery system for millions of repositories.” (System design)

Approach: Clarify volume and delivery guarantees. Cover an event queue, per-endpoint retries with backoff, idempotency keys, signing secrets, dead-letter handling and a dashboard for customers to replay deliveries. The notification system prompt is the closest practice match.

4. “Design a rate limiter for a public REST API.” (System design, reported by prep sites)

Approach: Token bucket or sliding window, keyed by token and IP, with limits returned in response headers. Explain where state lives across many servers, what happens when the store is down, and how you treat authenticated versus anonymous traffic. Practice it with the rate limiter prompt, and run both as timed Mock rounds in the AI system design interview copilot.

5. “Design a job scheduler like GitHub Actions.” (System design, reported by prep sites)

Approach: Workflow parsing, a queue per runner label, hosted versus self-hosted runners, isolation, log streaming, secrets handling and cancellation.

6. “Solve this medium-level problem in 60 minutes.” (Coding, reported)

Approach: Some candidates report an online LeetCode-medium-style problem. Restate it, give a brute force, improve it, then code and test.

7. “How do you use Copilot or other AI tools, and how do you review what they generate?” (AI judgment)

Approach: Give one concrete workflow, one time AI output was wrong and how you caught it, and your rule for what you never accept without a test.

8. “Tell me about a disagreement you resolved in writing.” (Behavioral, Better together)

Approach: Use the STAR method. Show the doc or thread, how you laid out options, and the decision. Remote-first teams want proof you can disagree without a meeting.

9. “Tell me about something you shipped to learn, and what you learned.” (Behavioral, Ship to learn)

Approach: Pick a small release that tested a hypothesis, show the metric you watched, and say what you changed.

10. “Tell me about a time you owned an outcome outside your job description.” (Behavioral, Own the outcome)

Approach: Describe the gap, why nobody else picked it up, what you did, and what changed for users. Quantify.

11. “How would you make this feature work for both a solo open-source maintainer and a 20,000-seat enterprise?” (Product)

Approach: Segment the users, name each group’s job to be done, propose defaults plus admin controls, and pick one metric per segment.

12. “Why GitHub, and why now?” (Motivation)

Approach: Name the team’s product, something you built on it, and how the CoreAI and agent direction connects to what you want to work on.

For more practice, see our technical interview prep guide.

Culture Fit: Remote-First, Written and Async

Writing is the main interface. In a company where most roles are remote, decisions live in issues, pull requests and docs. One design candidate wrote that writing matters because so much of the company is remote, and the hiring manager stage rewards clear, specific answers.

Diverse and inclusive is a scored value. Several candidates report a dedicated diversity and inclusion conversation in the loop. Prepare a real example of making a team or product more inclusive, not a statement of support.

What interviewers screen for: Clear written thinking, ownership without supervision, kindness in code review, practical AI judgment, and evidence that you work well with people you rarely see.

Compensation Overview (2026 Estimates, USD)

Base ranges below are GitHub’s own posted US ranges, copied from live job postings on github.careers on October 21, 2026; each range covers all US locations and levels of experience within the title. Total compensation figures are candidate-reported on Levels.fyi.

Role	Base Salary	Total Compensation (Base + Bonus + Equity)
Software Engineer III	$107,700 - $285,900 (posted)	Not enough public data by title
Senior Software Engineer	$124,000 - $329,200 (posted)	About $289,000 average for senior level (candidate-reported, Levels.fyi)
Staff Software Engineer	$140,400 - $372,300 (posted)	Not enough public data by title
Principal Software Engineer	$160,200 - $425,000 (posted)	Not enough public data by title
Senior Product Manager	$124,000 - $329,200 (posted)	Not enough public data
Staff Product Manager	$140,400 - $372,300 (posted)	Not enough public data
Design Engineer III	$153,900 - $285,900 (posted)	Not enough public data
Senior Incident Response Analyst	$124,000 - $329,200 (posted)	Not enough public data

Levels.fyi’s candidate-reported US median for GitHub software engineers was about $270,000 in its March 2026 snapshot, with reported packages from about $136,000 at the entry level to about $542,000 at the top level; earlier snapshots were lower, so treat these as estimates. GitHub’s postings say certain roles are eligible for an annual bonus and stock “allocated based on individual impact,” and some roles earn sales incentives. Ask your recruiter where in the posted range your offer sits and why, and for the stock grant in dollars with its vesting schedule. Our salary negotiation guide covers how to respond.

Preparation Timeline: 4-6 Weeks

Week	Focus	Activities
1	Product and team research	Use the team’s feature area daily. Read the posting line by line, the GitHub blog and changelog for that area, and the values and leadership principles. Draft “why GitHub, why this team.”
2	Pull request practice	Do two timed 3-4 hour exercises as real PRs: small commits, tests, a clear description. Get a friend to review one.
3	Coding and code review	Solve 25-40 medium problems. Review five open-source PRs in writing. Use OphyAI Coding Interview to check approaches.
4	System design	Rehearse webhooks, a rate limiter, an Actions-style scheduler and code search out loud, each with failure modes.
5	Behavioral and values	Write 8 STAR stories mapped to the six values and drill them in OphyAI Interview Practice, cutting each to under two minutes. Prepare a D&I example.
6	Integration	One full mock loop, five questions per interviewer, a quiet room and a tested camera and connection, as GitHub’s careers page advises.

Common Mistakes

Treating the take-home like a hackathon. Overrunning the time box or skipping tests undercuts the point of the exercise, which GitHub designed to resemble a normal day’s PR.

A blank PR description. Reviewers read the description first. Say what, why, how it was tested, and what is left.

Ignoring the values. GitHub publishes six values and three leadership principles on every posting and tells candidates to review them. Unmapped stories waste the hiring manager round.

Reading silence as rejection. Candidate reviews often mention slow communication and multi-week gaps. Follow up once after the stated date, and keep other processes moving.

Prepare for GitHub with OphyAI

GitHub’s process rewards people who already work the way GitHub works: in small pull requests, in writing, and with clear reasoning about trade-offs. That is practicable. Use OphyAI Interview Practice for voice or text mock interviews in behavioral, technical, system design and case formats, with a transcript and per-answer feedback. Use OphyAI Coding Interview on practice problems and design prompts; in the desktop app it runs as Coding Copilot for live coding rounds. Use OphyAI Interview Copilot for real-time answer suggestions in live rounds on Zoom, Teams or Meet. Start practicing →

Start Your GitHub Application

Ready to apply? OphyAI can help at every stage:

Search for open roles at GitHub and similar companies with AI-powered job matching
Generate a tailored cover letter that highlights your fit for the role, plus follow-up emails and thank-you notes for after your interviews
Track your application status alongside every other role you’re pursuing

Pair these with Interview Copilot for real-time help in the live interview, or practise first with OphyAI Interview Practice.

Round-by-round guides

GitHub take-home interview: the Interview-bot repo, the 2-5 hour reported time box, anonymized PR review and the walkthrough round.

For product details, see Interview Copilot.

Frequently Asked Questions

What is the GitHub interview process?

GitHub’s careers page lists five steps: a talent conversation with a recruiter, a hiring manager conversation, a tool-based assessment, interviews with several Hubbers, and a decision. For engineers the assessment is usually a coding exercise submitted as a pull request; for other roles it can be a writing, content or design assignment. The loop typically includes a take-home walkthrough or pairing, system design, code review and behavioral rounds.

How long does the GitHub hiring process take?

Glassdoor’s candidate-reported average for GitHub is about 36 days, or roughly five weeks, from first contact to a decision. The spread is wide: some candidates describe two weeks, others four months, often because of gaps before the final interviews. Ask your recruiter for the expected timeline at the first call and follow up once if it passes.

What is the GitHub take-home coding exercise?

GitHub’s engineering blog describes a timed exercise in a private repository created by a GitHub app called Interview-bot. You choose a language, work with your own editor and tools, and submit a pull request. Automated tests run in GitHub Actions, your name is removed from the PR, and an engineer scores it against a rubric. GitHub has not published the time limit; one candidate reported four hours.

Are GitHub interviews remote?

Yes, for nearly all roles. GitHub describes itself as remote-first, and on October 21, 2026, 67 of the 71 roles on its careers site were listed as remote in the US, UK, Canada or Germany. Interviews run over video, and the careers page advises a quiet space, muted notifications and a tested connection. A 2012 GitHub blog post described flying candidates to San Francisco for a day of interviews; current candidate reports describe video loops instead.

How does OphyAI work in a GitHub interview?

Rehearse the take-home walkthrough, system design and values rounds in OphyAI Interview Practice, which asks follow-up questions and gives per-answer feedback. On the live Zoom, Teams or Meet call, Interview Copilot in the desktop app hears the interviewer through system audio and suggests answers in a window excluded from screen sharing. For pairing or coding rounds, Coding Copilot reads the problem window and shows the code with a dry run.

How much does GitHub pay software engineers?

GitHub’s own postings list US base ranges of $107,700-$285,900 for Software Engineer III, $124,000-$329,200 for Senior Software Engineer, $140,400-$372,300 for Staff and $160,200-$425,000 for Principal, checked October 2026. Levels.fyi’s candidate-reported US median total compensation was about $270,000 in early 2026. Bonus and stock are on top of base for eligible roles.

Does GitHub still have its own CEO?

No. Thomas Dohmke announced in August 2025 that he would step down at the end of 2025, and Microsoft said it would not appoint a new GitHub CEO. GitHub’s leadership reports into Microsoft’s CoreAI organization led by Jay Parikh, and coverage at the time said Julia Liuson, head of Microsoft’s Developer Division, would oversee GitHub’s revenue, engineering and support functions.

Sources and verification notes

All sources were checked in October 2026. Where a fact comes from candidate reports, the text says so.

GitHub Careers, Experienced Professionals: the five interview steps, tool-based assessment by role, preparation tips (values, quiet space), accommodations.
GitHub Careers home: remote-first culture, six values, leadership principles.
github.careers job listings feed (71 postings, read October 21, 2026): posted US base ranges by title, bonus and stock language, remote locations, AI-tool requirements in SWE III and Senior PM postings, security and design role titles.
GitHub Blog, “How GitHub does take home technical interviews” (Andy McKay, March 2022, updated May 2022): Interview-bot, private repo, PR submission, anonymization, Actions tests, rubric, time limits.
GitHub Blog, “The GitHub hiring experience” (2012, updated 2019): historical fly-in interview day, used only for the FAQ’s historical note.
Channel Insider, August 13, 2025: Dohmke departure, no successor CEO, CoreAI under Jay Parikh, Julia Liuson’s oversight role.
Techzine, October 9, 2025: CTO Vladimir Fedorov’s Azure migration memo and COO Kyle Daigle’s confirmation.
Levels.fyi, GitHub Software Engineer: candidate-reported US median and level ranges (page blocked to direct fetch; figures from the March 2026 snapshot as indexed).
Glassdoor, GitHub Interview Questions: candidate-reported process length, LeetCode-medium online problem, D&I interview, design challenge format, communication complaints.
Taro, GitHub interview experiences: candidate reports of a 30-minute recruiter call and a 4-hour timed assignment, and a PR review step.
Design Gurus, GitHub interview process: third-party round list (pairing, code review, system design prompts); treated as typical, not official.

GitHub does not publish round counts, take-home time limits or offer timelines. Where this guide gives a number for those, it is the range candidates most often report, not a company commitment.