How to Get a Job at Anthropic in 2027: The Complete Guide

Anthropic, the company behind Claude, has become one of the most sought-after employers in tech. It grew from roughly 940 employees at the end of 2024 to about 5,300 by September 30, 2026, according to the IPO registration statement it filed in October 2026, and it is still hiring hard across research, engineering, sales and operations. Getting in is tough, but the process is more predictable than its reputation suggests if you know what each stage is testing.

Quick answer: Apply through Anthropic’s official jobs board with a specific, honest answer to “Why Anthropic?”, expect a recruiter screen, a skills assessment, a hiring manager call and a multi-round virtual onsite that includes a values interview, then references and team matching. Write your application yourself and use Claude only to polish it. Engineers should prepare for practical coding and system design; researchers for a deep dive on past work; everyone for questions about AI safety. If you are earlier in your career or switching fields, the paid Anthropic Fellows Program and the new Anthropic Residency are the most realistic side doors.

Last updated November 2026. Details checked on November 12, 2026; Anthropic changes its roles, programs and hiring rules often, so confirm on its careers page before you apply.

Anthropic at a glance

Here are the basics a candidate should know before applying. Headcount and open roles move quickly, so treat these as a snapshot.

The IPO matters for candidates. Once the company is public, equity becomes easier to value and eventually to sell, but recent hires may face lock-up periods and a share price that moves daily. If you get an offer during or after the listing, ask your recruiter exactly how and when your equity vests and becomes sellable.

What Anthropic is looking for

Anthropic describes its mission as the responsible development and maintenance of advanced AI for the long-term benefit of humanity, and it hires for that mission as much as for skills. Every stage of the process tends to come back to one question: do you understand why safety is central to how the company builds Claude, and do you care about it beyond it being a talking point?

Its careers page lists seven principles. Knowing them helps you frame your experience in terms its interviewers recognize:

• Act for the global good. Decisions are judged by long-run outcomes for humanity, not short-term wins.
• Hold light and shade. Take both the risks and the benefits of AI seriously at the same time.
• Be good to our users. “Users” is defined broadly: customers, policymakers, colleagues and anyone affected by the technology.
• Ignite a race to the top on safety. Compete on being the most safe and secure developer, and push the industry to follow.
• Do the simple thing that works. An empirical, iterate-from-simple approach rather than impressive-looking complexity.
• Be helpful, honest, and harmless. A high-trust, low-ego culture where people communicate kindly and directly.
• Put the mission first. The mission is the tiebreaker when priorities compete.

In practice, candidate reports and Anthropic’s own job posts point to a consistent profile: people who reason from first principles, admit what they don’t know, communicate clearly in writing, work collaboratively across research, engineering and policy, and move quickly without cutting corners. Mission alignment is not the same as being an AI safety researcher. A finance lead or account executive is expected to understand the mission and be able to talk about it thoughtfully, not to have published alignment papers.

Where the jobs are: roles and locations

Anthropic is no longer just a research lab. Most of its open roles are now in product engineering, infrastructure, applied AI, go-to-market and operations. On November 12, 2026, its board listed 674 openings, ranging from research engineers and security specialists to data center community engagement managers, tax leads and AV engineers.

Many listings name several cities, so the counts below overlap, but they show where hiring is concentrated:

Source: Anthropic’s public Greenhouse job board, counted November 12, 2026. For UK and EU candidates, London has the widest mix, including research and engineering. Dublin skews toward EMEA operations and sales, and Zurich has a small research presence.

The Anthropic hiring process, step by step

The exact loop varies by team and seniority, and recruiters usually explain your specific process on the first call. Based on Anthropic’s own job posts and candidate reports from 2025 and 2026, most people go through something close to this:

Candidates report the whole process taking anywhere from about three or four weeks to three months or more, with team matching and references the usual source of delays. Anthropic is hiring at very high volume, so some candidates also report slower replies at busy times.

The application and “Why Anthropic?”

Treat the written questions as an interview. Generic enthusiasm about AI does not stand out when thousands of people are applying. A strong answer names something specific, such as a research paper, a product decision, a policy position or a value from the list above, and connects it to work you have actually done. A few honest, concrete sentences beat a polished essay. If you’re unsure how to structure your story, our guide to storytelling in recruitment explains why a clear narrative lands with hiring teams.

The recruiter screen

Expect the “Why Anthropic?” question again, along with your background, what you want from the role, timing, location and work authorization. Ask how many rounds you’ll face and what each one covers. Recruiters are generally open about the structure, and knowing it lets you prepare properly.

The technical or skills assessment

For software roles, candidates consistently describe practical problems rather than puzzle-style algorithm questions: building or extending something that works, often in stages where requirements change as you go. Clean, working, well-structured code matters more than clever tricks. Research and applied roles may include a take-home or a problem connected to model behavior or evaluation. Non-technical roles may get a case study, writing exercise or role play.

The virtual onsite

The onsite usually mixes role-specific interviews with at least one conversation focused on values and judgment. For engineers that can mean live coding, system design (often at the scale of serving or training large models) and a project deep dive. Researchers typically present past work to a group and field probing questions, much like a panel interview. Go-to-market candidates often face a mock customer conversation or a strategy case.

The values and culture round

This is where Anthropic differs most from other tech companies, and candidates often describe it as the round that decides close calls. You may be asked how you’d handle a trade-off between speed and safety, a time you disagreed with a decision, or how you think about the risks and benefits of advanced AI. There is no single correct answer. Interviewers are listening for nuance, honesty about uncertainty and whether your reasoning holds up when challenged. Defending a position you clearly haven’t thought through does more damage than saying “I’m not sure, but here’s how I’d think about it.”

References and team matching

Anthropic checks references seriously, so line up people who can speak specifically about your work, and give them a heads-up about the role. Team matching can add weeks; it is a normal part of the process, not a sign that something has gone wrong.

Can you use Claude when you apply?

Yes, within limits. In May 2025 Anthropic asked applicants not to use AI at all in their applications. It reversed that in July 2025 and published guidance on candidates’ AI usage that sets out what is allowed at each stage:

Anthropic is also open about how it uses Claude in hiring: to write job descriptions, develop interview questions, draft candidate communications, analyze hiring metrics, transcribe interviews and find candidates to source. It says it doesn’t use candidate data to train Claude and doesn’t let Claude make hiring decisions. If you work in talent acquisition, that guidance is a useful template for your own process, and our roundup of AI recruiting tools for small businesses covers software that can help with the same tasks.

How to prepare, by role

Software and infrastructure engineers

• Practice building working features quickly in your strongest language, with requirements that change midway.
• Review system design at scale: distributed systems, caching, queues, reliability and the basics of serving large models.
• Prepare two or three projects you can explain end to end, including what went wrong and what you’d change.
• Read Anthropic’s engineering posts and know how its products, such as Claude Code and the Claude Developer Platform, are used.

Research scientists and research engineers

• Read Anthropic’s research publications in your area, especially interpretability, alignment and evaluation work, and form your own view of them.
• Prepare a clear talk on your past research covering the question, method, results and limitations.
• Expect strong ML fundamentals and practical engineering; many research roles are as much engineering as theory.
• Have a considered view on open problems in AI safety, even if it differs from Anthropic’s.

Applied AI, sales and customer roles

• Use Claude seriously before you interview, including in agentic and coding workflows, so you can speak from experience.
• Be ready to explain how you’d sell or deploy AI responsibly, including when you would advise a customer not to use it.
• Bring evidence of quota attainment, deals or customer outcomes with real numbers.
• Know the enterprise AI landscape and where Claude is stronger or weaker than competitors.

Policy, legal, finance and operations

• Read Anthropic’s policy positions, its Responsible Scaling Policy and its published commitments.
• Expect questions that test judgment under ambiguity in a fast-growing company preparing to go public.
• Show you can turn complex technical or regulatory material into clear, practical advice.

Anthropic salaries and benefits

Anthropic publishes pay ranges on its job posts. The figures below are posted base salary ranges taken from its live listings on November 12, 2026. They exclude equity, which is a large part of total compensation, and sales roles may also carry variable pay. Ranges are wide because each covers several levels.

Anthropic’s posts also mention optional equity donation matching, generous vacation and parental leave, and flexible working hours, with benefits varying by country. Pay transparency rules mean US listings carry ranges; check the specific post for your location, since the same title can pay differently in New York, Seattle, Dublin or Tokyo.

Other ways in: the Fellows Program and the Residency

If you don’t yet have a typical profile for a full-time role, Anthropic runs two paid programs that have become real routes into the company.

Anthropic Fellows Program

The Fellows Program funds four months of full-time research with mentorship from Anthropic researchers. It started with AI safety and has expanded to workstreams including security, ML systems and reinforcement learning, and economics and policy through the Anthropic Institute. Key details from the current posting:

• Weekly stipend of $3,850, £2,310 or C$4,300, plus roughly $15,000 a month in compute funding.
• Shared workspaces in Berkeley and London, or remote work from the US, UK or Canada.
• Open to strong technical people regardless of previous experience; fluent Python is required, and prior ML research is a plus rather than a must.
• You need existing work authorization in the US, UK or Canada; Anthropic does not sponsor visas for fellows.
• Applications are reviewed on a rolling basis and handled by Constellation, Anthropic’s recruiting partner for the program.
• Anthropic says over 80% of fellows in earlier cohorts produced papers and over 40% received full-time offers, though offers are not guaranteed.

Anthropic Residency

The Residency, posted in late October 2026, is a paid, fixed-term research placement lasting from six weeks to six months. It targets experienced people who want to move into AI safety work, such as professors in quantitative fields, technical founders and staff-level engineers, and it doesn’t require a machine learning background. Residents get a scoped project, mentorship, Claude access and GPU compute. The process covers an application, recruiter screen, technical assessment, research discussion and reference check. The current round closes on November 22, 2026, with placements in San Francisco, New York and London.

What it’s like to work at Anthropic

Employee reviews consistently praise the talent density, the sincerity of the safety mission, low politics for a company of its size and very strong compensation. The most common complaint is workload: reviewers describe it as hard to get by on a 40-hour week and say burnout is a real risk, though many add that colleagues do take time off when they need it. Growth has been extreme, more than five times the headcount in under two years, so expect teams, priorities and processes to change frequently.

Anthropic also operates under more public scrutiny than most employers. Its preparation for an IPO, its public stance on AI risk and its policy disputes, including an ongoing legal fight with the Pentagon over how its models can be used, mean your employer will often be in the news. For people who chose it for the mission, that tends to be part of the appeal. If you’re comparing offers, our look at what it’s really like to work at OpenAI gives a useful counterpoint.

How to stand out

• Be specific about why. Reference a paper, a product decision or one of the principles above, and connect it to your own work. Specificity signals real interest.
• Show, don’t tell. Open-source contributions, evals you’ve built, a write-up on model behavior or a project that uses Claude well are worth more than adjectives on a resume.
• Quantify impact. Numbers for scale, revenue, latency, users or time saved make your claims easy to verify.
• Write well. Written communication is valued across the company. Keep application answers short, clear and honest.
• Get a referral where you genuinely can. A warm introduction from someone who knows your work helps, as with any employer. Our guide on connecting your way into a dream job covers how to do this without being pushy.
• Apply to the right role, not every role. Several near-identical applications look unfocused. Pick the one or two that best match your evidence.
• Be honest about uncertainty. “I don’t know, but here’s how I’d find out” is a strong answer at Anthropic.

Common mistakes to avoid

• Using AI to write your application from scratch, or using it during live interviews or assessments without permission.
• Name-dropping “Constitutional AI” or “AI safety” without having read anything about them.
• Treating the values round as a formality, or giving answers that sound rehearsed rather than reasoned.
• Overclaiming on a project you only touched; deep dives quickly reveal how much you actually did.
• Ignoring the office requirement. At least 25% in-office is expected, so make sure you can commute to a hub.

Watch out for recruiting scams

Anthropic’s popularity makes it a target for fake recruiters. According to its job posts, genuine Anthropic recruiters contact you only from @anthropic.com email addresses, vetted agencies will say they’re working on Anthropic’s behalf, and nobody legitimate will ask for money, fees or banking details before your first day. If in doubt, don’t click links in the message; go to Anthropic’s careers page directly and check the role exists.

Useful resources

• Anthropic open roles: the only place to apply, with pay ranges and location details for each post.
• Guidance on candidates’ AI usage: Anthropic’s rules for using Claude at each stage.
• Anthropic research: papers and posts on interpretability, alignment, evaluations and societal impacts.
• BlueDot Impact: free AI safety courses (formerly AI Safety Fundamentals) if you’re new to the field.

FAQ

How hard is it to get a job at Anthropic?

It’s very competitive: Anthropic attracts huge applicant volumes and keeps a high bar on both skills and mission alignment. Your odds improve a lot if you target a role that clearly matches your experience and prepare specifically for each stage rather than applying broadly.

Do I need a PhD to work at Anthropic?

No, most roles don’t require one. Job posts ask for a bachelor’s degree in a related field or equivalent experience, and many research engineers join without a PhD. Some research scientist roles do favor candidates with a strong publication record.

Does Anthropic sponsor visas?

Yes, Anthropic sponsors visas for many full-time roles and retains immigration lawyers, but it says it can’t succeed for every role and candidate. The Fellows Program is an exception: it does not sponsor visas, so fellows need existing work authorization in the US, UK or Canada.

Can I work remotely for Anthropic?

Mostly not fully remote. Staff are expected in an Anthropic office at least 25% of the time, and some roles require more. A small number of posts, often field or data center roles, are listed as remote-friendly in the US with travel required.

How long does Anthropic’s hiring process take?

Candidates report anywhere from about three or four weeks to three months or more. Team matching and reference checks are the most common causes of longer timelines.

Does Anthropic hire in the UK and Europe?

Yes. London is its largest hub outside the US, with research, engineering, applied AI and sales roles, and it also hires in Dublin, Zurich, Munich, Paris and Milan, mainly for go-to-market and operations.

Anthropic’s bar is high, but its process is transparent by tech standards: it publishes pay ranges, explains how you can use AI, and tells you what it values. Use that. Pick the right role, do the reading, write your own story and practice explaining your work out loud. If you’re hiring for your own team, the same principles of transparency and a clear process are worth borrowing.