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Overall employee rating

3.1
Based on 3 reviews
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4
3
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Detail Ratings
Work life balance
3.0
Career Growth
2.0
Work flexibility
4.0
Job Security
3.0
Pay and benefits
3.0
Leadership
3.0
Company Culture
3.0
Disclaimer: Reviews on Jobstore are independently submitted by users; we do not guarantee the accuracy or truth of any individual submission. Read more
Software Engineer
3.1
6 March 2026
Hybrid model has pros and cons
Pros: I like the few remote days we get each week; it's a solid WFH policy for a tech startup. They're generally understanding when you need to shift things around, which helps with personal life.
Cons: The "flexibility" isn't always what it seems, especially in the San Francisco office. We're still expected to be onsite a lot, which can feel like a contradiction to the hybrid model. For engineering roles, it often feels like we could do more from home.
Advice to Management: Be more transparent about actual onsite expectations. Make sure the hybrid model is truly flexible across all teams, especially for us Software Engineers.
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Junior Software Engineer
3.3
4 March 2026
Okay for a Start, Growth is Tough at Clay
Pros: As a Junior Software Engineer, I learned a lot about modern web development. The team is collaborative, and the hybrid work model from our San Francisco office was pretty good. It's a solid startup experience for entry-level folks.
Cons: Career growth is really slow, almost non-existent for engineering roles. There aren't clear promotion paths for a Software Engineer, so I felt stuck. It's tough to move up if you're not a senior already.
Advice to Management: Create clearer growth paths and mentorship programs for junior and mid-level engineers. It's hard to see a future here without them.
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Junior Data Analyst
3.0
25 December 2025
Growth is Slow, but the Learning is Real
Pros: As a Junior Data Analyst, I got to jump into many different projects right away. You learn a lot by doing in this fast-paced startup, and it's great exposure to the whole data pipeline.
Cons: Formal career development is pretty much non-existent. There's no clear path for data science roles, and you really have to advocate for yourself if you want a promotion or a new title. It can feel like you're stuck.
Advice to Management: Establish clear career frameworks and mentorship programs, especially for entry-level data science roles. Help employees see a future with clear advancement opportunities.
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