Pros: Smart people who leave as soon as they can

Cons: Exec Leadership that does not listen to anyone. Way too much politics for a company this size. Multiples of each Exec at CTO, CRO, CFO/Controller have left. This is not the sign of a healthy company. These were experienced leaders that all left FAST. They saw that they were not able to make the needed changes because of the Exec Inner Circle. Execs are happy just hiring a new round of CS majors and MBA’s and seeing how long they can string them along. GM’s of the Products are inexperienced leaders and micromanagers that have never built a business. WLB only exists as a topic that leadership says they have been working on for over 3+ yrs so it is not changing. It is so bad that the anonymous employee survey has been replaced with a weekly survey that your manager sees and then asks you questions if you give an answer with less than 4 stars. Very awkward and no one wants to speak up anymore and just leave when they can. Attrition is terrible and the rumor is that you have to sign an NDA when you leave. People leave at one year if they have the cash to buy their options, or you try to last 2 yrs if you need the options exercise extension.

Pros: Great events, a hardworking culture, and exceptional talent, especially for new grads. You will get insights into the AI industry and the direction of AI that will be great for your career, especially if you are young.

Cons: Inner circle around CEO and social clique runs the show. Definitely not a meritocracy. Coined phrase "clout-based decision making" (wtf?) Questionable leadership at the upper levels resulting in attrition, burned out coworkers, and brilliant minds being underutilized to churn out mindless features that end up being throwaway work. Everyone is stretched thin and working long hours. I don't know a single engineer who works 40 hours a week. "Why not faster?"

Pros: - Lots of ownership opportunities - Working on the frontier and exposure to the top AI companies and researchers - Very smart and motivated coworkers

Cons: - Very bad WLB (50-60 hour weeks, sometimes 80-100) that is improving - Operations at its core, not working on building AI models but rather the datasets