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Lithia & Driveway

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Driveway: Don't Expect Anything but Disappointment - Customer Service Agent Lithia & Driveway Employee Review

1.0
Oct 21, 2022
Recommend
CEO approval
Business Outlook

Pros

On the Driveway side, the only pro is the benefits.

Cons

There are technically two companies, Lithia and Driveway. Lithia itself is decent with very good benefits and what seems to be a good culture. I would recommend working with Lithia at one of their dealerships. Driveway, specifically its Plano, TX center, is nothing but a toxic dumpster fire. The pay is the only decent thing about working for Driveway, $22 an hour but no bonus pay, they took that away. Upper management does not care for or appreciate the employees and only sees them as a number, but they definitely do show favoritism. They know that there is no morale and that the work environment is toxic but they turn a blind eye to it. As soon as you are out of the two-week training period, you are automatically set up to fail. You won't receive incoming sales calls and the leads that are given to you are from the bottom-of-the-barrel section but you are still expected to make 20 sales a month. Even though you aren't given the tools to succeed, you can absolutely expect to be written up and even terminated for low performance. There are far more issues that would end up turning this review into a novel. Please save yourself the anguish and don't even give Driveway a chance because they certainly won't give you one.

Explore other reviews about Lithia & Driveway

5.0
Jun 6, 2026
Recommend
CEO approval
Business Outlook

Pros

Love what I do. Great team members.

Cons

Very Hot on summer days.

5.0
May 15, 2026
Recommend
CEO approval
Business Outlook

Pros

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.

Cons

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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