Still the elite consulting co they set out to be - Senior Software Engineer Lab49 Employee Review

5.0
Feb 22, 2015
Recommend
CEO approval
Business Outlook

Pros

If you want to be a great engineer: you'll get encouragement, support and recognition. How many employers can you say that of? If you want to work on X, management will sincerely try to get you the chance to work on X. Which for a consulting company is not easy. You get to introduce new technologies/stacks to clients, and that's exciting. Projects for clients are Lab managed - no T&M work. Smart, effective, interesting people make a culture that's somewhere between a startup and a consulting co, a good balance.

Cons

The project model is evolving, and the methodology can be onerous as the kinks are worked out. That said, being on Lab managed projects is a whole lot better that being a resource on a client-managed project. New technologies are risky, and Lab eats that risk, which can be stressful.

Explore other reviews about Lab49

5.0
Sep 16, 2024
Recommend
CEO approval
Business Outlook

Pros

- Working groups around Blockchain, AI, and other interesting topics - Book Club - Open and transparent leadership team

Cons

- Uncertainty around what you will be working - Can do a great job on a project, and still be left on the bench when it is finished

2
4.0
May 26, 2026
Recommend
CEO approval
Business Outlook

Pros

Hiring is well-gated, so you'll work with smart people. Projects are exclusively in finance so it's a great place to gain exposure in that industry. You operate with a good amount of autonomy.

Cons

It's a consulting company, so engineers are only valuable if they're billable. That means your success is tied to someone else's ability to secure a pipeline of work for you, or your own ability to upsell at your engagement - which may or may not be up to you no matter what you do. There isn't a dedicated sales team at Lab, so this can get spotty. Upper management's presence is felt in seasons - non-existant for months at a time, all over everything the next. They were nowhere to be found as AI got rolled out massively in 2026 and we got caught without a strategy and action plan - either for leveraging internally or for pivoting our model.

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