The company is either going through growing pains or a little stuck on a plateau. Leadership knows this and has gone all in on AI as a potential solution. It makes for a strange juxtaposition where the company feels large and stable but is acting like a small, unstable startup in many ways. I think they're generally playing optimally, leadership with the company's direction that is, but they need to not take the solid foundations of the company for granted, the stuff that makes all the money.
I had a few conversations with recruiters and hiring managers for full-stack roles. I discussed my full-stack experience, which I certainly have a lot of. They then told me that I wasn't a right fit and that if an ML Engineer role came up, they woul
I was excited about Airtable after talking to the recruiter. It sounded like an exciting company with a collaborative interview experience. The technical screen was challenging, but the interviewer was helpful and wanted me to succeed. I was hoping f
1. Recruiter reached out via email. 2. Recruiter call: 30 minutes to talk about openings and fit. 3. Phone interview via HackerRank with one algorithm question. 4. On-site with 4 technical rounds and 1 culture/behavioral round.
I had a few conversations with recruiters and hiring managers for full-stack roles. I discussed my full-stack experience, which I certainly have a lot of. They then told me that I wasn't a right fit and that if an ML Engineer role came up, they woul
I was excited about Airtable after talking to the recruiter. It sounded like an exciting company with a collaborative interview experience. The technical screen was challenging, but the interviewer was helpful and wanted me to succeed. I was hoping f
1. Recruiter reached out via email. 2. Recruiter call: 30 minutes to talk about openings and fit. 3. Phone interview via HackerRank with one algorithm question. 4. On-site with 4 technical rounds and 1 culture/behavioral round.