Smart colleagues and snacks can't offset toxic leadership - Recensione dipendente - AI Solution Manager presso C3 AI

1,0
18 mag 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Very smart colleagues +snacks at the office

Svantaggi

- Leadership is toxic and treats staff and customers poorly. - The product has no competitive advantage in the market and is a blend of open source tools, but it is very costly, so customer retention is horrible - They show a lot of carrots when hiring, but many of those, like hefty commissions, can't be materialized as the product is of low quality, and you'd struggle to close deals - There is no work-life balance, highly stressful environment. The reward is not aligned with the expectation. This is the case for both the sales team and engineers. - The leadership openly admits they don't believe in diversity & inclusion - 5 days working in the office is mandatory, which is quite frustrating - The company is going to be bankrupt soon due to all of the above

Esplora altre recensioni su C3 AI

5,0
23 mar 2026
Dipendente anonimo
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Leading products and technology. Great manager and team.

Svantaggi

Recent quarterly results below expectations.

2,0
1 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Smart and talented colleagues with strong problem-solving skills. Opportunity to work on large-scale enterprise applications for Fortune 500 customers across industries such as manufacturing, supply chain, energy, and defense. Exposure to AI/ML-driven business applications and complex data integration challenges. Fast-paced environment with significant ownership and opportunities to contribute across the stack. Employees on platform and infrastructure teams can gain experience with distributed systems, backend services, and core platform development. Competitive compensation and exposure to high-impact customer-facing projects.

Svantaggi

Much of the application development work relies on C3.ai's proprietary Type System and platform abstractions rather than widely adopted industry frameworks. Skills gained in some application-focused roles may not transfer as directly to companies that primarily use Java, Spring Boot, Kubernetes, AWS-native services, or other mainstream technologies. Engineers looking to build expertise in designing scalable systems from scratch may find fewer opportunities, as many platform capabilities are already provided by the underlying framework. Technical growth can vary significantly depending on the team. Platform teams often work with core technologies, while application teams may spend more time configuring and extending existing platform functionality. The learning curve for the internal platform can be steep, and much of that knowledge is specific to the C3.ai ecosystem. Career development and marketability outside the company may depend heavily on the nature of the projects and teams an engineer is assigned to.

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