Pros
1. The work is mostly interesting and challenging. 2. My team is pretty awesome. I'm very lucky and grateful to have ans engineering manager that really takes an interest in the well being of our team, but still strives to make a strong impact in the company. Everyone on my team is very supportive and willing to jump into solving a problem at a moments notice. There are no egos on my team. 3. The work from home policy is fantastic. I get to save commuting money, but I never feel "alone". We have daily standups and ad-hoc meetings, so we collaborate frequently. 4. There is some opportunity to learn new technology, though I would prefer if it were more often. 5. Management seems pretty transparent and honest with the company. I never feel like the C-suite is hiding anything. We have regular "all-hands" meetings where they discuss the state of the company, our success and failures, where we are going as a company and how to get there. I really like that communication and honesty. 6. Angi is regularly asking for feedback to improve itself. That is wonderful, and rare. I've worked at previous companies that never did anything like this, and it showed. I'm very glad that Angi is always striving to be a great place to work. 7. Angi is serious about clearly documenting our work. Whether that's holding RFC meetings, writing spike docs, or just building simple information docs in confluence. 8. Angi has onsites where employees can travel to meet in person. I've been to a couple and they are great. Would love for this to happen more often. I sometimes here they plan twice a year, but that doesn't always happen.
Kontras
1. Angi has a lot of outdated code and systems, decades worth. This causes some serious issues with the products, and makes working with them significantly harder than it needs to be. Luckily, management is aware and has initiatives in place to migrate off these legacy systems. Just a matter of when. 2. Like many companies these days, Angi is trying to use AI more in daily work life. This has pros and cons. So far, I have not seen the benefit of it, hence I'm posting in the "cons" section. I think there is a general lack of knowledge on how to use it. 3. Lately there has been a push to "move faster", especially now with the adoption of AI tools. I have seen teams making some poor choices, resulting in costly mistakes. I would love to return (at least a little) to a slower, more thoughful approach. A "measure twice, cut once" approach, not "ship now, fix later".
