griddable.io

Pros: I liked working on real-world data science problems. As a Data Engineer, I learned a lot about specific ML infrastructure. The team is super supportive. Remote work flexibility is great.
Cons: Career growth can feel really slow here. There isn't a super clear path for promotions. For a startup, I expected more upward mobility. It's tough to move into senior roles without an established framework.
Advice to Management: Build out clearer career paths for individual contributors. Define what it takes to get promoted. This would really help with retention for folks in data roles.

Pros: As a Software Engineer at this startup, you get to touch a lot of different tech. It's good for picking up new skills, especially with their data science platform. I've learned a ton about new frameworks working remotely.
Cons: The career growth path isn't super clear, which is tough. There aren't many defined steps to move up, especially for mid-level folks. Sometimes you feel a bit stuck without a clear promotion process.
Advice to Management: Work on clearer growth frameworks for Software Engineer roles. Help us see what's next and how to get there. Formal mentorship programs would also really help.

Pros: I've learned a ton working here as an ML Engineer. The problems in AI infrastructure are genuinely tough and interesting. Team members are super bright and helpful.
Cons: Work-life balance can be tough at this startup. There are often late nights, especially before big releases. Communication from leadership sometimes feels a bit scattered.
Advice to Management: Try to set clearer expectations on deadlines. Also, maybe encourage more defined WFH boundaries for the team.