Ambitious, AI-forward workplace with significant growing pains in execution and people management
Pros
- Smart, hardworking coworkers who genuinely cared about delivering strong work. - Fast-paced environment with opportunities to learn quickly and take on a high level of responsibility. - Leadership was highly focused on innovation and staying ahead of industry trends, particularly around AI and automation. - Exposure to a wide variety of clients, projects, and business challenges. - Strong emphasis on adaptability and continuous improvement. - Employees were trusted with meaningful work and given opportunities to contribute ideas. - Fully remote/flexible work environment was convenient for employees across different locations. - Company moved quickly and was willing to experiment with new technologies and processes. - Great place for people who thrive in high-growth, high-intensity environments. - Compensation and benefits were competitive compared to similar roles.
Cons
- Leadership culture often felt overly centered around the CEO, creating an environment where disagreement or constructive feedback did not feel psychologically safe. - “Unlimited vacation” existed in theory, but workloads were so high that taking meaningful time off often felt discouraged in practice. - Frequent terminations with vague reasoning created instability and anxiety across teams despite messaging around avoiding layoffs. - Strong push toward AI adoption, often without enough input from employees actually doing the work day-to-day, resulting in impractical workflows and inconsistent output quality. - Company branding emphasized being people-first, but internally the culture often prioritized speed and output over employee wellbeing. - Travel expectations were significantly higher than communicated during hiring, and overwork was often publicly praised. - Leadership encouraged employees to raise concerns, but many people felt uncomfortable doing so due to fear of negative consequences. - Team morale and relationship-building initiatives were deprioritized because everyone was constantly overloaded with work. - Employee suggestions around improving systems and processes were often dismissed without meaningful discussion. - Management frequently introduced AI tools and “solutions” without consulting the teams expected to use them. - Employees were consistently stretched thin, which contributed to low morale and a lack of genuine connection across teams. - Stakeholders were often misaligned on priorities, with little consideration given to team capacity or workload sustainability.
