Close Menu
clearpathinsight.org
  • AI Studies
  • AI in Biz
  • AI in Tech
  • AI in Health
  • Supply AI
    • Smart Chain
    • Track AI
    • Chain Risk
  • More
    • AI Logistics
    • AI Updates
    • AI Startups

AWS Launches AI Tool to Accelerate Drug Discovery Research

May 1, 2026

Google AI March Announcements

May 1, 2026

Inside the AI ​​Index: 12 takeaways from the 2026 report

May 1, 2026
Facebook X (Twitter) Instagram
Facebook X (Twitter) Instagram
clearpathinsight.org
Subscribe
  • AI Studies
  • AI in Biz
  • AI in Tech
  • AI in Health
  • Supply AI
    • Smart Chain
    • Track AI
    • Chain Risk
  • More
    • AI Logistics
    • AI Updates
    • AI Startups
clearpathinsight.org
Home»AI in Business»A Googler shares a long journey from finance to AI
AI in Business

A Googler shares a long journey from finance to AI

February 5, 2026094 Mins Read
Share Facebook Twitter Pinterest Copy Link LinkedIn Tumblr Email Telegram WhatsApp
Follow Us
Google News Flipboard
69822c85a645d11881888ff3.jpeg
Share
Facebook Twitter LinkedIn Pinterest Email Copy Link

This essay as told is based on a conversation with Max Buckley, a 38-year-old senior software engineer at Google, based in Zurich, Swiss. His identity and employment have been verified by Business Insider. The following has been edited for length and clarity.

I am a senior software engineer at Google in Zurich, where I have worked since 2013.

Most people don’t move from business to a more technical background, but my bachelor’s degree was in business studies and I joined Google after my undergraduate studies as a financial analyst intern.

For several years, I moved from financial analysis to business analytics, then to trust and security, and to an engineering team in 2016. I joined several other software engineering teams, then eventually joined Google Cloud AI, where I worked on one of the cloud AI products for a few years.

I then joined an internal LLM innovation team within Google’s core infrastructure group, which we then transformed into an LLM applied research team, where I lead the team today.

To make multiple changes like this, you need to hone your skills and explore other areas. Here’s how I did it:

I have taken about 40 open online courses

As soon as I joined Google, I decided that my North Star would be to become a data scientist. Initially, I had great success expanding my skills with online courses like Coursera, edX, or Stanford. I used them to explore finance, then statistics, and then spent most of my time in computer science and data science.

Overall, I’m done around 40 open online coursesmost through Coursera.

Some of the courses I have taken include:

  • Neural networks and deep learning
  • Structuring machine learning projects
  • Algorithmic toolkit
  • Sequence models

The courses ran from 2013 to 2021, and I took them in the evenings and on weekends. I didn’t have a lot of time for video games, but I still made time to go to the gym, eat, sleep, and spend time with my girlfriend.

I wasn’t very structured in my approach to taking classes. I didn’t say, “I have to do five hours a day,” or anything like that. I followed them because I felt the need to do one or learn more about a particular topic. I didn’t get exhausted.

The most impactful courses I took were the first two Coursera courses: Data Analysis and Computer Science for Data Analysis. I did them right before my interview for my internship at Google and the interviewer had taken the same course, so we had this instant connection.

I went back to school for several degrees

I also did more formal study part-time.

I completed my Bachelor of Business Studies in 2013. Then, at Google, I completed a part-time postgraduate certificate in Statistics, which took one year. I then followed a part-time master’s degree in Business Analytics, which lasted two years. I then pursued a part-time master’s degree in software engineering, which lasted almost five years. Most recently, I completed an advanced degree in data science, which took another two years.

I have taken several summer school certificates, which is where you spend a week taking doctoral level courses.

I don’t regret taking the long way

My message to those who want to make the transition is: don’t be discouraged. When I first wanted to join Google, several hiring managers weren’t interested because I didn’t have an undergraduate degree in computer science. Similarly, when I applied for a master’s degree in Business Analytics, I was initially rejected because I didn’t have an undergraduate technical degree or two semesters of programming experience, even though I was programming at Google. There were obstacles that I had to navigate around.

I always wanted to study computer science, but my dad told me it was better to learn something different because I’d probably end up there anyway. In hindsight, he was right.

Studying computer science would definitely have accelerated my career, but I’m in a place where it’s no longer a barrier and I’m familiar with a number of business theories, like Porter’s five forces. They’re not always helpful, but every once in a while it comes up in conversation.

The constant here is that my journey includes continuous learning. When recruiters or hiring managers see my profile, they see that I am not a complacent person.

Have you made a career change? We want to hear from you. Contact the journalist by email at aaltchek@insider.com or via the Signal secure messaging app at aalt.19.

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link

Related Posts

Physical AI does not replace farmers. It keeps them active

April 22, 2026

How AI is helping Fonterra work differently within the cooperative

April 22, 2026

Demand for local AI could shape a new business model for Apple

April 21, 2026
Add A Comment
Leave A Reply Cancel Reply

Categories
  • AI Applications & Case Studies (70)
  • AI in Business (413)
  • AI in Healthcare (327)
  • AI in Technology (404)
  • AI Logistics (52)
  • AI Research Updates (135)
  • AI Startups & Investments (338)
  • Chain Risk (98)
  • Smart Chain (116)
  • Supply AI (108)
  • Track AI (70)

AWS Launches AI Tool to Accelerate Drug Discovery Research

May 1, 2026

Google AI March Announcements

May 1, 2026

Inside the AI ​​Index: 12 takeaways from the 2026 report

May 1, 2026

Intel boosts ASU AI research with major hardware donation

April 30, 2026

Subscribe to Updates

Get the latest news from clearpathinsight.

Topics
  • AI Applications & Case Studies (70)
  • AI in Business (413)
  • AI in Healthcare (327)
  • AI in Technology (404)
  • AI Logistics (52)
  • AI Research Updates (135)
  • AI Startups & Investments (338)
  • Chain Risk (98)
  • Smart Chain (116)
  • Supply AI (108)
  • Track AI (70)
Join us

Subscribe to Updates

Get the latest news from clearpathinsight.

We are social
  • Facebook
  • Twitter
  • Pinterest
  • Instagram
  • YouTube
  • Reddit
  • Telegram
  • WhatsApp
Facebook X (Twitter) Instagram Pinterest
© 2026 Designed by clearpathinsight

Type above and press Enter to search. Press Esc to cancel.