Building The Infrastructure To Drive Growth And Scale

Bethanie Baynes is the Director of Corporate Partnerships at Amazon. Prior to that she spent 16 years at Google in a variety of roles including overseeing strategic partnerships and driving new business development, revenue management and analytical insights. She is a tireless women's advocate and recognized leader on the topic of breadwinning women. She founded the Breadwinning Women's community at Google, is the host of the podcast, Working Wife, Happy Life! and has been featured on CNBC, Refinery 29, Medium, Know Your Value "Women in the News", Said Business School at Oxford University and Chief Mom Officer. Below she shares some insights from her time at Google on company infrastructure and processes.

Learnings from the early days of Google on driving scale through technology.

When I started my career at Google, it was very early, literally January 2004. The first challenge I faced was during our hypergrowth beginning. We were hiring and got about 8,000 emails from applicants. Sheryl Sandberg, a staunch operational expert, tasked me with sorting through and bulk responding to those emails in a timely manner.

I don't have a technical background but I am very practical. So I found a few of my more tech-savvy colleagues, and we developed tools that would help us filter through the emails. This sounds like customer service 101 these days, but in 2004 auto replies were not common practice. To this day, we use that same principle when looking for ways to utilize automation without sacrificing the quality of the experience.

Determining the key value drivers that lead to company growth

I've learned there are these little red herrings when you look at data, these little anomalies that you can chase down. It's almost like a corn maze, you can end up in a dead-end, or you can end up with a clue. It takes diligence to follow through and wisdom to know when enough is enough.

So much about leadership is instinct. It's easy to fall into analysis paralysis. Honestly, you can make data tell any story you want, so go with your gut and be willing to pivot. You're going to make mistakes, and you're going to bark up the wrong tree. That's ok. That's not lost time. No matter how smart or successful you are, there is always more to learn.