Promotes In-Place Work Bullying - Product Support Specialist Figma Employee Review

2.0
6 Nov 2020
Recommend
CEO approval
Business outlook

Pros

- great perks! - there are some people here who are absolutely amazing and incredibly welcoming and supportive.

Cons

- All teams across the company are definitely not identical. I've definitely worked with many teams cross-functionally who were great. To reiterate while some team's have a great management system, mine did not. - if you are in product support you are extremely micro-managed - the leads and managers on product support promote in work bullying. For example: I brought up screenshots and physical proof of bullying and their advice was to talk it out to the assailant privately, even though I have already done so. Also told me that if I were to go to HR there would be huge repercussions. - Was told that my work itself was great, but because of my "accusations" of bullying I'm not fit for the team. -some management and team members come across as sexist -

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5.0
3 June 2026
Recommend
CEO approval
Business outlook

Pros

- great culture - impactful team

Cons

- actually i enjoyed my time at Figma

2.0
20 Mar 2026
Recommend
CEO approval
Business outlook

Pros

* decent work life balance. I don't think there's a hustle culture per se * leadership is exceptionally smart and personable (but see issues on execution below) * humble eng team, few egos

Cons

My biggest shock when I joined this company was just how bad the execution on the product team actually is. I had assumed a company with a beloved product must have an excellent product org, but far from it! Seems like most of Figma's successes were accidental, or due to some early engineers' visionary work. Mainly, this company does not know how to ship AI products incrementally. Specifically the org that builds Figma AI is constantly stuck in the cycle of: * CEO gets scared by something on Twitter * Product engineers rush to build a demo for new features that'll "save the company" * Prototype gets rushed, customers are unhappy * Overpaid team of PhD researchers gets pulled in to hill climb on quality, but takes too long to make meaningful progress * Customers get even more angry * Product team adds(!) scope * The market has moved on to the next shiny AI thing * We scrap the project, or are asked to do the next, even bigger thing * ... and so on, ad infinitum, but no meaningful AI products ever ship. But hey, they pay pretty well!

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