Do yourself a favor and find some place else - Credit Delivery Texas Capital Employee Review

1.0
May 24, 2022
Recommend
CEO approval
Business Outlook

Pros

Closed on weekends WFH 2 days a week (when management allows it)

Cons

Where do I start? This place sets their employees up for failure and when customers are angry, they look for someone lower on the totem pole to point the finger at rather than figuring out what they can do to help the situation. This place likes to act like they’re family oriented and they care about their employees when they could actually care less. All these 5 star reviews are faked by HR. This bank is garbage along with its disgusting CEO who helped run the family culture into the ground. If they ask you to apply, RUN. There’s a reason why they have so many job positions open.

Explore other reviews about Texas Capital

5.0
Apr 23, 2026
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Pays well for hard work

Cons

Nothing it is a great firm

1.0
Mar 5, 2026
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Some talented engineers and team members who try to do the right thing despite constant organizational friction.

Cons

The technology organization suffers from a lack of strong engineering leadership and accountability. Managers often avoid making firm technical or project decisions, which leads to shifting priorities and unclear direction. When initiatives struggle, responsibility is frequently pushed downward onto engineers rather than addressed at the leadership level. There has also been noticeable turnover across engineering teams while leadership continues pushing a model where only a small number of onshore “lead engineers” remain while much of the development work moves offshore. In practice this creates bottlenecks where engineers complete work during normal hours but cannot move code forward until offshore teams review and approve pull requests. Leadership has also introduced initiatives without realistic planning. When internal AI tooling was introduced, expectations around productivity were abruptly changed (for example, reducing story point estimates under the assumption AI would accelerate development). At the same time, engineering resources were directed toward building an internal AI assistant that largely functions as a wrapper around existing models while higher-priority platform work remains under-resourced. Culturally, the environment can feel dismissive toward engineers. Turnover remains high, concerns raised by teams are rarely addressed, and negative feedback about the organization has been consistent for years without meaningful change from upper management.

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