Working at OpenAI in 2027: Culture, Pay and How to Get Hired
OpenAI, the company behind ChatGPT, is one of the most talked-about employers in the world and one of the fastest-growing. It had about 4,500 employees in March 2026, according to the Financial Times, with plans to reach roughly 8,000 by the end of the year. That means a lot of hiring, but also a lot of competition for each role. This guide covers what working there is actually like, what the hiring process looks like and what OpenAI pays.
Quick answer: Working at OpenAI means high pay, large equity grants, very talented colleagues and a pace that many people find exhausting. To get hired, apply through its careers page, expect a recruiter and hiring manager call, one or more skills assessments, and a final round of 4–6 interviews, usually virtual. OpenAI says you’ll typically hear back within about a week at each stage. Engineers should prepare for practical coding and system design at scale, researchers for deep technical discussions of past work, and everyone for questions about the mission. Most roles are hybrid, with three days a week in the office as the usual baseline.
Last updated November 2026. Details checked on November 12, 2026; OpenAI changes its roles, structure and hiring practices often, so confirm on its careers page before you apply.
OpenAI at a glance
|
Fact |
Detail |
|---|---|
|
Founded |
2015, San Francisco |
|
CEO |
Sam Altman |
|
Structure |
OpenAI Group PBC, a public benefit corporation controlled by the nonprofit OpenAI Foundation (since October 2025) |
|
Employees |
About 4,500 (March 2026, per the FT); target of roughly 8,000 by end of 2026 |
|
Open roles |
822 on its job board (Nov 12, 2026) |
|
Biggest hubs |
San Francisco, New York, Seattle, London, Singapore |
|
Office policy |
Hybrid, usually 3 days a week in the office; some roles 4–5 |
|
Going public? |
Sam Altman said in September 2026 that OpenAI won’t IPO in 2026 |
The structure matters for candidates because it shapes equity. Since the 2025 restructure, employees hold equity in a conventional for-profit public benefit corporation rather than the capped-profit setup OpenAI used before. With no IPO this year, that equity stays illiquid except through company-run share sales, so ask your recruiter how often those happen and what you’d be eligible for.
What it’s really like to work at OpenAI
A very fast pace, by design
OpenAI ships constantly, from new models to products like ChatGPT, Codex and enterprise tools, and teams are expected to move from idea to launch quickly. Employee reviews consistently describe the pace as relentless and the hours as long. People who thrive there tend to like ambiguity, shifting priorities and learning on the job. If you want a predictable roadmap and a steady 40-hour week, it’s probably not the right place. Our guide to staying motivated under pressure is relevant reading if you’re weighing that trade-off.
Small teams with a lot of ownership
Despite rapid growth, teams are lean and individuals are expected to own large pieces of work end to end. Researchers often write production code, and engineers are close to research. That makes it a good place to learn quickly, but it also means less structure, fewer formal processes and managers who expect you to find your own way.
Mission and values
OpenAI says its mission is to ensure that artificial general intelligence benefits all of humanity, as set out in its Charter. Its careers page lists six values, which interviewers use as a reference point:
- Audacious: make bold bets and challenge conventional thinking.
- Thoughtful: consider the consequences of the work and welcome different views.
- Unpretentious: take on unglamorous work without needing credit.
- Impact-driven: focus on real-world effects, not just interesting ideas.
- Collaborative: the biggest advances come from work across teams.
- Growth-oriented: seek feedback and keep learning.
Scrutiny comes with the job
OpenAI is rarely out of the news, whether for product launches, safety debates, lawsuits or leadership changes. Employees work under unusual public attention, and internal priorities can change quickly in response. Many people find that energizing; others find it draining. It helps to have a clear personal view on where you stand on AI’s risks and benefits before you join.
Where the jobs are
OpenAI listed 822 open roles on November 12, 2026. The biggest hiring areas were go-to-market (180 roles), applied AI (123), scaling and infrastructure (93), research (54), user operations (50), marketing (41), forward deployed engineering (39) and security (32). Many posts list more than one city, so the counts below overlap:
|
Location |
Roles listing it |
Notes |
|---|---|---|
|
San Francisco |
575 |
HQ; research, product and most functions |
|
New York City |
118 |
Engineering, GTM and operations |
|
Seattle |
80 |
Engineering and infrastructure |
|
London, UK |
44 |
Research, engineering and EMEA GTM |
|
US remote |
40 |
Mostly field and specialist roles |
|
Singapore |
38 |
APAC GTM and operations |
|
Washington, DC |
34 |
Policy and OpenAI for Government |
|
Tokyo |
31 |
Japan GTM and applied AI |
|
Munich, Dublin, Paris, Sydney |
11–18 each |
Mainly GTM, applied AI and operations |
|
Seoul, São Paulo, India |
5–8 each |
Regional GTM |
Source: OpenAI’s public job board, counted November 12, 2026. Most roles are hybrid; posts typically ask for three days a week in the office, and some research and leadership roles require four or five. Many posts also offer relocation assistance.
The OpenAI hiring process
OpenAI publishes an official interview guide that outlines the stages and timelines. Candidate reports from 2025 and 2026 fill in the detail. The loop varies by team, and your recruiter will tell you which track you’re on.
|
Stage |
What happens |
Typical timing |
|---|---|---|
|
1. Application |
Resume review by recruiting |
Reply in about a week |
|
2. Introductory calls |
Recruiter or hiring manager discusses your work, motivation and goals |
30–45 minutes each |
|
3. Skills assessment |
Pair coding, a take-home project or a technical test; sometimes more than one |
Feedback within about a week |
|
4. Final interviews |
4–6 hours with 4–6 people over 1–2 days, virtual by default |
Can be onsite in San Francisco |
|
5. Decision |
References may be requested; offer discussion |
Usually within a week of finals |
Candidates generally report the full process taking around three to eight weeks, with senior and research roles at the longer end. OpenAI says it is not credential-driven and hires both established experts and people with high potential who can ramp up quickly, so a nontraditional background is not a barrier if your work is strong.
Introductory calls
Expect questions about what you’ve built, why OpenAI and why now. Be specific about the product, research area or team you want to work on. Ask how many assessments you’ll face and what each covers; OpenAI says recruiters will help you prepare for skills-based rounds.
Skills assessments
For engineers, OpenAI’s guide says it looks for well-designed solutions, high-quality code, attention to performance and good test coverage. Candidates describe practical coding problems as well as harder algorithmic questions on some teams. Researchers may get a take-home or an ML coding exercise. Go-to-market and operations roles often get a case study or presentation.
Final interviews
The final round usually combines role-specific technical interviews with conversations about collaboration and values. Engineers can expect system design at real scale, such as inference serving, distributed training or high-traffic chat backends. Researchers typically discuss past papers and frame an open research problem, much like a panel interview. Everyone should expect behavioral questions about ownership, handling ambiguity, disagreement and how you think about AI’s impact.
Can you use ChatGPT during OpenAI interviews?
OpenAI’s interview guide doesn’t set out a published rule. Candidate reports suggest it varies by team: research and infrastructure coding rounds are generally done without AI help, while some applied and design discussions allow it. The safe approach is to assume no AI assistance in assessments and live interviews unless your recruiter explicitly says otherwise, and to ask early. Using ChatGPT to research the company and practice answers before you interview is fine and expected.
How to prepare, by role
Software and infrastructure engineers
- Practice clean, tested code under time pressure, including at least some harder algorithm problems.
- Review large-scale system design: distributed systems, queues, caching, GPU scheduling and inference serving.
- Prepare two or three projects you can explain in depth, including trade-offs and mistakes.
- Use OpenAI’s API and products seriously so you can discuss them from experience.
Researchers and research engineers
- Be ready to walk through your papers or projects in detail, including what didn’t work.
- Brush up on probability, linear algebra and optimization; OpenAI’s guide points to the Deep Learning Book and Spinning Up in Deep RL.
- Read OpenAI’s recent research and blog posts for the team you’re interviewing with.
- Expect to write ML code yourself, not just discuss ideas.
Go-to-market, applied AI and operations
- Show measurable outcomes: revenue, adoption, customer wins or time saved.
- Understand how enterprises deploy ChatGPT and the API, and where they struggle.
- Prepare to explain how you’d handle a customer use case that raises safety or policy concerns.
- Know the competitive landscape, including Anthropic, Google and open-source models.
OpenAI salaries, equity and benefits
OpenAI shows a pay range on most job posts. The table below summarizes the posted ranges on its live listings on November 12, 2026. They exclude equity, which OpenAI describes as generous and which is often worth more than salary. Each range spans several levels.
|
Role family |
US posted range |
London posted range |
|---|---|---|
|
Software engineer |
$145,800–$536,000 (most $266,000–$445,000) |
£194,000–£280,000 |
|
Research engineer |
$250,000–$850,000 |
Not listed |
|
Researcher / research scientist |
$170,000–$850,000 |
£170,000–£445,000 |
|
Product manager |
$266,000–$530,000 |
Not listed |
|
Data scientist |
$265,000–$515,000 |
Not listed |
|
Security engineer |
$266,000–$510,000 |
Not listed |
|
Forward deployed engineer |
$145,800–$445,000 |
Not listed |
|
Product designer |
$141,000–$385,000 |
Not listed |
|
Legal |
$162,000–$445,000 |
Not listed |
|
Marketing |
$176,000–$423,000 |
Not listed |
|
Sales (account director/executive) |
$176,000–$360,000 |
Not listed |
|
Policy |
$171,000–$335,000 |
Not listed |
|
Recruiting |
$172,000–$295,000 |
Not listed |
Equity is where OpenAI stands out. The Wall Street Journal reported that average stock-based compensation was about $1.5 million per employee in 2025, and OpenAI reportedly removed its vesting cliff in late 2025, so new hires start vesting from day one. Because the company is private and not listing in 2026, that equity can only be sold in company-run share sales, so its value on paper and what you can actually access are different things.
Benefits listed on OpenAI’s careers page include medical, dental and vision cover, mental health support, a 401(k) with generous matching, 20 weeks of paid parental leave, fertility and family planning cover, flexible hours, an annual learning stipend, a conference budget, commuter perks and daily meals. Benefits differ outside the US, so check the details for your country.
The OpenAI Residency
The OpenAI Residency is a six-month, full-salary program for researchers and engineers moving into AI from related fields such as mathematics, physics or neuroscience, as well as self-taught builders and early-career people with a strong track record. It doesn’t require a formal machine learning background. Applications for the 2026 cohort have closed, so watch the page for the next round. Our guide on building a learning culture explains why programs like this are becoming a common way for employers to grow scarce talent.
How to stand out
- Lead with what you’ve built. Shipped products, open-source work, papers or side projects that use AI well count for more than titles.
- Be specific about why OpenAI. Name the team, product or research direction you want to work on and connect it to your experience. A clear narrative helps; see our piece on storytelling in recruitment.
- Show speed and ownership. Examples of moving fast, taking on unglamorous work and finishing it resonate with OpenAI’s values.
- Quantify impact. Numbers make your contribution easy to verify.
- Have a real view on AI’s risks and benefits. You don’t need to agree with OpenAI on everything, but you should have thought about it.
- Use your network. A referral from someone who knows your work helps; our guide on connecting your way into a dream job covers how to ask well.
Common mistakes to avoid
- Applying to many unrelated roles at once instead of one or two clear matches.
- Underestimating the coding bar because a role is labeled “applied” or “product.”
- Giving generic answers to “Why OpenAI?” that could apply to any AI company.
- Using AI tools during an assessment or live interview without explicit permission.
- Ignoring the in-office expectation; most roles need you near a hub at least three days a week.
OpenAI vs Anthropic: how they compare for candidates
Many candidates apply to both. The broad differences, based on each company’s public information in November 2026:
|
|
OpenAI |
Anthropic |
|---|---|---|
|
Headcount |
About 4,500 (Mar 2026), growing toward 8,000 |
About 5,300 (Sept 2026) |
|
Open roles (Nov 12) |
822 |
674 |
|
Office expectation |
Usually 3 days a week |
At least 25% of the time |
|
Public listing |
Not in 2026, per Sam Altman |
S-1 filed Oct 2026 (Nasdaq: ANT) |
|
Interview emphasis |
Speed, ownership and technical depth |
Technical depth plus a dedicated values round |
|
Early-career route |
Six-month Residency |
Fellows Program and Residency |
For the full picture on the other side, read our guide on how to get a job at Anthropic.
FAQ
Is it hard to get a job at OpenAI?
Yes, it’s very competitive, but it’s hiring at a rapid pace, which helps. Candidates who target a role that closely matches their experience and prepare specifically for each stage do much better than those who apply broadly.
How long does OpenAI’s hiring process take?
Usually about three to eight weeks. OpenAI’s own guide says you should typically hear back within a week after your application, each assessment and your final interviews.
Do I need a PhD to work at OpenAI?
No. OpenAI says it is not credential-driven, and many engineers and researchers join without a PhD. Strong, demonstrable work matters more than degrees.
Can I work remotely for OpenAI?
Mostly not. Most roles are hybrid with about three office days a week, and some require four or five. A small number of roles, mainly in the field, are listed as remote.
How much does OpenAI pay?
Posted US base salaries for software engineers range from about $146,000 to $536,000, and research roles go up to $850,000, before equity. Equity is often worth more than salary.
Does OpenAI hire in the UK and Europe?
Yes. London has about 44 open roles across research, engineering and go-to-market, and OpenAI also hires in Dublin, Munich, Paris, Madrid, Berlin and Stockholm.
OpenAI offers some of the best pay and most interesting work in tech, in exchange for intensity and constant change. Go in with a clear reason for wanting to be there, evidence of what you’ve built and realistic expectations about the pace, and you’ll give yourself the best chance.




