I manage user-facing analytics products across desktop and mobile at Squarespace, which this site is built on. I'm passionate about machine learning and its ability to highly personalize user experiences, to make users feel like a product was made just for them, to make them feel seen, known and deeply valued. I have spoken on machine learning from a product perspective at conferences across Europe and New York.
Prior to Squarespace, I was a product manager at Automatic Labs, where I helped start the product org and built products using data science and machine learning to create actionable insights and personalized recommendations for drivers around fuel efficiency and car maintenance. Before transitioning into product, I was an early business hire at Automatic, and wore many hats across strategic finance, business development, and product marketing, playing a big role in securing our Series B round of funding. Automatic was acquired by Sirius XM in April 2017. Before Automatic, I was an investment banker at Jefferies working on technology M&A and debt financing. It's been really interesting having sat on both sides of the deal table.
I'm passionate about bringing more women into product roles, and am one of the NYC chapter leaders for Women in Product. I also organize a monthly breakfast for women PMs in Manhattan. Ping me to join or get involved with #WomeninProduct!
I am a proud UC Berkeley alum and tech is in my blood - my parents were software and hardware engineers in Silicon Valley, way back when Sand Hill Road was just another highway exit. I now shuttle between NYC and the Bay, mostly in search of the best food. For a more detailed story, head over to About!
“The most calamitous failures of prediction usually have a lot in common. We focus on those signals that tell a story about the world as we would like it to be, not how it really is.”
Competing Against Luck, Clayton Christensen