Today, I realized not only does King Crimson's sound echo prodigiously within the discographies of my favorite artists, they've also had a thing or two to say about good (and bad) product management over the decades!
Yesterday, it was a great honor to be a guest on Nick Wan's data science livestream on Twitch to talk through bad (and less bad) data viz that I've created.
This week I asked for feedback on something I wrote from a trusted colleague.
Kaggle is a unique team at Google. Unlike the vast majority of Google teams, our team is fully remote-first and distributed in offices (Google and home) across North America and Australia.
The Japanese train system is famously fast, clean, friendly, and efficient. On the drive home from my first day back at Google I was reminded of why.
Today is my last day at Stack Overflow. For most of this year, I was the lead product manager for their flagship product, public Q&A.
This is cross-posted from an interview I recently did with Superlinguo, a language and linguistics blog by Lauren Gawne, for her excellent linguists in careers series.
A couple of months ago I started a new job as a product manager at Stack Overflow.
Being a product manager on a small remote, distributed team reminds me a lot of the Black Mirror episode Be Right Back.
For about the past two years, I’ve been a product manager at Kaggle where I work on our public data platform as well as (more recently) our Google Cloud Platform integrations team.