RUN! Performative Culture Masking a Deeply Dysfunctional Company - Recensione dipendente - Software Engineer presso Lithia & Driveway

1,0
22 apr 2025
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

A few kind and competent teammates, most of whom left or were laid off.

Svantaggi

Driveway masquerades as a forward-thinking tech company, but the reality is a toxic, outdated boys’ club where diversity, inclusion, and integrity are nothing more than branding buzzwords. Women were routinely paid less than men, overlooked, and boxed into low-impact work, while less experienced men - including interns - were paid more, promoted more frequently, and praised. Teams of women left after being micromanaged, manipulated, and gaslit by toxic managers and senior devs whose behavior was reported and ignored. Layoffs were cruelly handled, with employees locked out of their systems mid-day with no warning, including people returning from bereavement leave. These cuts weren’t driven by hardship but made during a year of expansion and record profits. In 2023, Lithia Motors CEO Bryan DeBoer gave himself a 73% raise, earning $19.3 million while employee wages declined. That tells you everything you need to know about where priorities lie. PTO was scarce, HR existed to shield leadership, and the product was as outdated and bloated as the culture behind it. Despite the "innovation" branding, the tech stack and internal systems are stagnant.

Esplora altre recensioni su Lithia & Driveway

5,0
6 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Love what I do. Great team members.

Svantaggi

Very Hot on summer days.

5,0
15 mag 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Strong exposure to real business data from automotive sales, finance, inventory, and customer operations. Opportunity to work on high-impact analytics that directly affect dealership performance and revenue. Large-scale company with many datasets and business units, which is good for learning business intelligence and predictive analytics. Growing digital transformation initiatives can provide opportunities to work with modern analytics tools and automation.

Svantaggi

Legacy systems and fragmented data sources may make data cleaning and integration challenging. Traditional corporate structure can sometimes slow down decision-making or the implementation of data-driven ideas. Work may lean more toward reporting/dashboarding than advanced machine learning, depending on the team. Stakeholders may prioritize quick operational insights over long-term data science experimentation. A high-pressure retail environment can lead to tight deadlines and rapidly changing priorities.

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