Harvey is building real AI for professionals, not just another chatbot. The team is tackling genuinely hard problems in reasoning, retrieval, and domain-specific model alignment.
Decisions are made quickly, projects move fast, and good ideas can ship to production quickly. If you like autonomy and impact, it’s one of the best environments around.
Strong partnerships with various law firms, data management systems, and financial services position Harvey well to continue to push the boundaries of Applied AI.
Priorities can shift quickly as the company evolves and experiments. That’s energizing for some people, but can be stressful if you prefer stable, predictable workflows or long-term roadmaps.
Because Harvey is still relatively small and growing fast, formalized processes around career growth, documentation, or people management are still being built out.
A recruiter reached out, and I put off responding for a month. I eventually did a coding screen and went for an onsite interview. I was really bummed that I didn't get the offer. I had lunch with the team, and they took me out to a nice restaurant
The interview process included a coding tech screen followed by an on-site interview. The on-site consisted of coding, systems design, and behavioral interviews. The coding interviews were data structure heavy. It's definitely worth studying graph a
The tech screens and onsite interviews (mostly) were tough but fair. The only negative I would call out was the system design interview. The interviewer was not a strong English speaker, and it was very hard to work out what they were saying and com
A recruiter reached out, and I put off responding for a month. I eventually did a coding screen and went for an onsite interview. I was really bummed that I didn't get the offer. I had lunch with the team, and they took me out to a nice restaurant
The interview process included a coding tech screen followed by an on-site interview. The on-site consisted of coding, systems design, and behavioral interviews. The coding interviews were data structure heavy. It's definitely worth studying graph a
The tech screens and onsite interviews (mostly) were tough but fair. The only negative I would call out was the system design interview. The interviewer was not a strong English speaker, and it was very hard to work out what they were saying and com