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Overall employee rating

3.1
Based on 16 reviews
5
4
3
2
1
Detail Ratings
Work life balance
3.0
Career Growth
3.0
Work flexibility
3.0
Job Security
3.0
Pay and benefits
3.0
Leadership
3.0
Company Culture
3.0
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Data Analyst
3.0
3 July 2026

Decent Pay, Benefits Could Be Better

Working as a Data Analyst here, the pay is fair for the market, but the benefits package needs some serious improvements, especially health insurance. It's okay, but not great.


Pros

As a Data Analyst at Acquire Intelligence, my base salary was pretty competitive for analyst roles in the Boston tech market. I've felt like my compensation was fair for my experience level, which is a good thing for a growing startup company.


Cons

The health insurance premiums feel really high, making the overall benefit package less attractive. It's tough to justify when comparing it to other companies in the AI space. Also, the PTO policy isn't the most generous.


Advice to Management

Please re-evaluate the health insurance options and costs for employees. Better benefits would really help with retention and attracting top talent, especially in this competitive tech market.


Ratings by topic
3.0
Work life balance
3.0
Career Growth
3.0
Work flexibility
3.0
Job Security
3.0
Pay and benefits
3.0
Leadership
3.0
Company Culture

Similar reviews
Data Engineer
3.1
4 April 2026
Decent for now, but startup life is risky.
Pros: The AI development field is growing fast. That means high demand for Data Engineer skills. You learn a ton at a startup like Acquire Intelligence. Being remote from California is a huge perk.
Cons: Job security feels a bit shaky sometimes. We hear whispers about new funding rounds, which always makes you wonder. As a startup, things can pivot fast, making job security a constant thought. This makes career planning tough for Data Engineer roles.
Advice to Management: Clearer communication about the company's financial health and long-term vision would really help employees feel more secure.
Show more
Software Engineer
3.1
2 April 2026
Hybrid model has its good days
Pros: I liked the advertised hybrid model; it's nice to work remote two days a week. For individual contributor roles, the freedom on remote days is solid. It helps with work-life balance a bit.
Cons: The 'work flexibility' can depend a lot on your specific team manager. Some teams pressure you to come into the Austin, TX office more than the two required days. It felt less flexible than promised for a tech startup.
Advice to Management: Really commit to the hybrid model across all teams. Don't let managers subtly force people back into the office more often for those working in AI development. Trust your employees.
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Data Scientist
2.9
27 March 2026
Remote Is Good, Flexibility Not So Much
Pros: Being a fully remote company is super convenient, especially as a Data Scientist managing my own schedule. I appreciate not having a commute daily. It's good for anyone looking for WFH options.
Cons: True flexibility isn't really there despite being remote. There's a lot of pressure for specific "online" hours, so it's not like you can totally manage your own time. This isn't ideal for those of us needing real work flexibility to balance personal stuff.
Advice to Management: Please trust your fully remote employees more with their schedules. Focus on output for Machine Learning Engineer roles and other technical positions, not just online presence during set hours. True work flexibility would boost morale a lot across this AI startup.
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