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      Stackline

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      Toxic culture with strong team bonds but poor management - Recensione dipendente - Account Manager presso Stackline

      1,0
      8 giu 2026
      Account manager
      Consiglia
      Gradimento del CEO
      Pronostico commerciale

      Vantaggi

      The account management team, we all were miserable together therefore formed strong bonds

      Svantaggi

      Boys club. Working until 2AM. CEO interfering with client meetings, when clients asked he not join. Withheld bonuses from people with zero reasoning except it was all personal and they simply didn't like these people. Overpromised clients on what could actually be achieved. Hold sudden all company meetings at 5PM, causing individuals to miss child pick up times, post-work obligations, etc - meetings were scheduled with a 10 minute heads up, people were pressured to stay and if they couldn't jokes were made about them in these meetings saying their absence was a lack of dedication.

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      2,0
      23 mag 2026
      Software engineer
      Consiglia
      Gradimento del CEO
      Pronostico commerciale

      Vantaggi

      - Nice office view with rooftop access - Some free decent snacks and drinks - Some new projects with modern tech stacks and fast learning experience for new grads. - Good insurance coverages.

      Svantaggi

      - CEO practices are mostly trying to boost short term profitability and margin. Sales and engineering have huge layoffs recently, but not finance department. This could be sign of boosting immediate margin, but the business seems hanging on a tight rope. - Bad engineering practices. bandaging fixes for both legacy apps like Atlas, Beacon, and data pipeline. No plan for proper maintenance, refactor and upgrade of legacy code bases. - Critical crawling is unreliable and susceptible to changes of data provider term of services. - Company culture: Stackline expecting superhuman employees like Tiktok, but pay is far below the industry work effort you are putting into. - Most folks under Engineering and Data Science teams are constantly discussing of interview preparation to attempt escaping the sinking ship.

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