Business realities, ethics and 'do the right thing'

Conversation about revenue dependence on ads, ethical trade-offs, and how business needs influence technical decisions.

Transcript

chevron_right

Play full episode

chevron_right

Transcript

Episode notes

Brought to You By:

•⁠ Statsig ⁠ — ⁠ The unified platform for flags, analytics, experiments, and more. Something interesting is happening with the latest generation of tech giants. Rather than building advanced experimentation tools themselves, companies like Anthropic, Figma, Notion and a bunch of others… are just using Statsig. Statsig has rebuilt this entire suite of data tools that was available at maybe 10 or 15 giants until now. Check out Statsig.

•⁠ Linear – The system for modern product development. Linear is just so fast to use – and it enables velocity in product workflows. Companies like Perplexity and OpenAI have already switched over, because simplicity scales. Go ahead and check out Linear and see why it feels like a breeze to use.

—

What is it really like to be an engineer at Google?

In this special deep dive episode, we unpack how engineering at Google actually works. We spent months researching the engineering culture of the search giant, and talked with 20+ current and former Googlers to bring you this deepdive with Elin Nilsson, tech industry researcher for The Pragmatic Engineer and a former Google intern.

Google has always been an engineering-driven organization. We talk about its custom stack and tools, the design-doc culture, and the performance and promotion systems that define career growth. We also explore the culture that feels built for engineers: generous perks, a surprisingly light on-call setup often considered the best in the industry, and a deep focus on solving technical problems at scale.

If you are thinking about applying to Google or are curious about how the company’s engineering culture has evolved, this episode takes a clear look at what it was like to work at Google in the past versus today, and who is a good fit for today’s Google.

Jump to interesting parts:

(13:50) Tech stack

(1:05:08) Performance reviews (GRAD)

(2:07:03) The culture of continuously rewriting things

—

Timestamps

(00:00) Intro

(01:44) Stats about Google

(11:41) The shared culture across Google

(13:50) Tech stack

(34:33) Internal developer tools and monorepo

(43:17) The downsides of having so many internal tools at Google