# Why do you want to work at Anthropic? Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/questions/5596/why-anthropic Source observed: 2026-11-04T22:21:42.215Z Last checked: 2026-11-04T22:21:42.215+00:00 Indexed: 2026-11-06T18:19:26.707+00:00 --- # Why do you want to work at Anthropic? We are Aced (formerly Exponent), an interview-preparation platform. This behavioral-question page helps candidates prepare for the Anthropic interview question “Why do you want to work at Anthropic?” ## Question details - **Category:** [Behavioral](https://www.aced.io/questions?type=behavioral) - **Reported last asked:** a month ago - **Interview experiences:** 16 - **Companies:** [Anthropic](https://www.aced.io/questions?company=anthropic) — 11 associated question entries - **Associated roles:** [Software Engineer](https://www.aced.io/questions?role=swe) — 5; [Product Manager](https://www.aced.io/questions?role=pm) — 2; [Data Scientist](https://www.aced.io/questions?role=data-science) — 2; [Solutions Architect](https://www.aced.io/questions?role=solutions-architect) — 2; [Machine Learning Engineer](https://www.aced.io/questions?role=ml-engineer) — 2; [Engineering Manager](https://www.aced.io/questions?role=em); [Data Analyst](https://www.aced.io/questions?role=data-analyst); [Data Engineer](https://www.aced.io/questions?role=data-engineer) Detailed company statistics for this question are available through [Upgrade](https://www.aced.io/upgrade?src=questions). ## Interview experiences We have 10 shared Anthropic interview experiences on this question page. These are candidate-reported experiences: 1. **Product Manager — a month ago:** “They took a very conversational approach. It was not as structured as typical big tech interviews. Be prepared for an open discussion.” [Read the experience](https://www.aced.io/experiences/anthropic-product-manager-interview-76fd3f) 2. **Software Engineer · Staff / L6 — 2 months ago:** “The system design interview was a bit different than the typical ones, it asked me to review an existing design doc and give feedback. Initially I was a bit uncertain, but was able to navigate the doc and point out a few issues, then it becomes a typical deep dive session on failure handling, overload protection.” [Read the experience](https://www.aced.io/experiences/anthropic-staff-software-engineer-interview-243751) 3. **Data Scientist · Mid Level / L4 — 4 months ago:** “The process was long overall, the recruiter was very general, first screen was 4 level code signal and next interview was about fine tuning.” [Read the experience](https://www.aced.io/experiences/anthropic-data-scientist-interview-d3dfc1) 4. **Solutions Architect — 5 months ago:** “Very focused on the culture screening and \"Why Anthropic,\" they pushed on this quite a bit. They really want to see that you have pre-sales experience as well, think I had more post sales experience and that was not as ideal for them.” [Read the experience](https://www.aced.io/experiences/anthropic-solutions-architect-interview-d2a405) 5. **Engineering Manager · Sr. Staff / L7 — 6 months ago:** “About Why Anthropic. They seem to really care. The recruiter seemed like they were really busy to even talk to me. They got interested after we started speaking. One question on how I handled low performers. I wish I had prepared for recruiter screen. I thought it would be generic, but it was what decided the HM next round.” [Read the experience](https://www.aced.io/experiences/anthropic-sr-staff-engineering-manager-interview-e3ab6f) 6. **Software Engineer · Senior / L5 — 10 months ago:** “I did a hard pre-assessment first, then the recruiter fast-tracked me because I already had other offers and got me through the rest of the loop in about a week. The onsite was five rounds for me: hiring manager, coding, company values, system design, and then another coding round. The most unusual part was the company values interview, which was run by nontechnical people and felt almost like a therapy session because they kept probing how I felt, not just what I did. The technical rounds were more practical than I expected, while the behavioral side was where I felt the real pressure. I finished the loop, but at the time of this conversation, I was still waiting on the outcome.” [Read the experience](https://www.aced.io/experiences/anthropic-senior-software-engineer-interview-2ffa5f) 7. **Software Engineer · Senior / L5 — 10 months ago:** The same candidate-reported experience is listed a second time on the page, with the same five-round onsite description. [Read the experience](https://www.aced.io/experiences/anthropic-senior-software-engineer-interview-2ffa5f) 8. **Machine Learning Engineer — a year ago:** “Tl;dr is that the process was hard, thoughtful, and more advanced than a typical ML loop imo. I got in through someone in my network, then after I applied I went through a recruiter screen, a technical use-case screen, an MLOps round, a hiring manager round, and a three-part final panel with ML design, behavioral, and culture fit. The whole process felt very centered on real LLM work: MCP and tooling, long context windows, memory, reliability, enterprise deployment, and whether I actually know when AI makes sense versus plain ML. One thing that stood out is they let me use their LLM in the interview system, which honestly made it feel closer to the real job than most AI interviews I have done. The culture fit round was the most distinctive because it went deep on ethics, executive pressure, and EQ, and it honestly felt almost like a therapy convo.” [Read the experience](https://www.aced.io/experiences/anthropic-machine-learning-engineer-interview-27873a) 9. **Software Engineer · Staff / L6 — a year ago:** “I applied, and did a normal recruiter screen followed by a coding phone screen. After I passed that, hiring paused for the team, and then time passed until a different recruiter picked me back up for a virtual onsite. My onsite was a coding round, a system design round, a hiring manager round, a culture round, and a one-person technical presentation. At the time the question bank was small enough that I basically knew the kinds of questions coming, but Anthropic was one of my first loops, so I wasn't as sharpened as I should have been. I got pretty close but didn't get the offer, and my read is that the system design round hurt me the most.” [Read the experience](https://www.aced.io/experiences/anthropic-staff-software-engineer-interview-9bfb57) 10. **Data Scientist · Mid Level / L4 — a year ago:** “Overall the interview process was quite quick but also didn't feel very robust as I was expecting for this type of company! I think I failed one of the later technical rounds in the onsite.” [Read the experience](https://www.aced.io/experiences/anthropic-data-scientist-interview-05afb6) ## Community answers No answers have been contributed by the community yet. Sign in or [sign up](https://www.aced.io/signup?src=nav&returnPath=/questions/5596/why-anthropic) to answer this question. ## Related questions - [Why do you want to work at Anduril?](https://www.aced.io/questions/6303/explain-interest-working-anduril) - [Why do you want to work at Apple?](https://www.aced.io/questions/3208/why-work-at-apple) - [Why do you want to work at Visa?](https://www.aced.io/questions/4627/why-visa) ## Related courses ### [Machine Learning Engineer Interview Prep](https://www.aced.io/courses/ml-engineer) ![Machine Learning Engineer Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/6UfkHxUyLQVfDHSfLNQtWa/1be1539a65b4f6f15201f5b573c0a578/ML_Engineer_Interview_Prep_Course.jpeg?w=800&h=800&fm=webp&q=75) We cover mock interviews, frameworks, and advice from senior candidates for machine-learning roles at Meta, Google, Amazon, Apple, Microsoft, Nvidia, and other top companies. Topics include ML system design, core concepts, coding, and behavioral interviews. ### [Engineering Management Interview Prep](https://www.aced.io/courses/engineering-management) ![Engineering Management Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/5AqarwlCDWmr0W7AbMJFwp/16862dab13471f5eb8728b27eb2fbc07/engineering_management_track_compressed_bbabaec4a6__281_29_9a9687c1fb.jpeg?w=800&h=800&fm=webp&q=75) We cover mock interviews, frameworks, and advice from senior candidates for engineering-manager roles at Meta, Google, Amazon, Microsoft, Stripe, and other top companies. Topics include system design, people management, project retrospectives, and behavioral interviews. ## Practice with AI Use [Practice with AI](https://www.aced.io/practice/ai/new?type=Behavioral&question=why-anthropic&src=questions) to work on this behavioral question. 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