Company Summary

Company Overviews

Quo (formerly OpenPhone) is the collaborative phone system trusted by teams at over 90k businesses. It brings your customer calls, texts, and contacts into an intuitive, AI-powered app that works across all your devices.

Rating Reviews

Rating is calculated based on 3 reviews and is evolving.

Featured Reviews

Data Analyst
3.9
29 August 2026
Stable Tech Role with Room for Growth
Pros: Working at Quo offered a solid foundation in the data analytics space. The team was always supportive, and there were plenty of chances to learn new tools and techniques relevant to AI and machine learning projects. Management was generally approachable and provided clear direction. The company culture fostered a sense of camaraderie.
Cons: While the core business seems stable, there's an underlying concern about job security, especially when external economic factors impact the tech industry broadly. The pace can be demanding during critical project phases. Some approval processes felt a bit slow, but these are minor points in an otherwise good experience.
Advice to Management: Continue to invest in transparent communication regarding business strategy and potential market impacts. This would greatly boost employee confidence in long-term job security.
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Software Engineer
3.7
11 September 2026
Solid Tech Role with Room for Improvement
Pros: The team culture here is genuinely supportive, and I appreciate the emphasis on learning and development. There are good opportunities to work on interesting projects in the AI/ML space. The flexibility to work remotely or in a hybrid model is fantastic for managing personal commitments and maintaining a healthy work-life balance, which is rare in the fast-paced tech industry.
Cons: While compensation is decent, it could be more competitive compared to other Silicon Valley tech companies, especially for senior roles. The internal processes sometimes lag behind the pace of innovation, leading to minor inefficiencies. Career progression, while present, could be more clearly defined and accelerated.
Advice to Management: Consider more transparent career pathing and benchmark compensation more aggressively against industry standards. Streamlining some internal operations would also boost efficiency for all software development teams.
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Data Scientist
3.6
4 September 2026
Solid foundation, good work-life balance
Pros: Great learning environment, especially for data science and analytics roles. Exposure to diverse projects helps build a strong portfolio. The hybrid work setup in California is a big plus, offering flexibility without sacrificing team collaboration. People are generally helpful, and there's a decent emphasis on innovation within projects.
Cons: Career advancement can feel a bit slow; promotions aren't always clearly defined or tied to specific metrics. Sometimes, direction from senior leadership can be a bit unclear, leading to rework or shifting priorities. While the pay is competitive for the industry, it might not be top-tier compared to larger tech giants.
Advice to Management: Consider clearer career progression paths and more consistent strategic direction from leadership. This will help retain talent and foster a stronger sense of individual growth within the company.
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