Hi, I'm Inga! I'm a product manager passionate about machine learning and its ability to hyper-personalize user experiences - to make people feel seen, known and valued. I’m also passionate about promoting diversity in tech and bringing more women into product.

I’m currently working on personalization & discovery products at Spotify, including owning the machine learning models that power Discover Weekly. I also lead the NYC chapter of Women in Product, a fast-growing community of over 800 women PMs in NYC and 10,000 globally. I’ve spoken on building machine learning products and user-centered data products at conferences across Europe and New York. 

Previously, I was the product lead for Squarespace's user-facing analytics products across web, mobile and platform. I joined as the third PM and helped revamp our PM interview process to grow the product team to over 20 PMs, while doubling the engineering team. Before Squarespace, I was a product manager at Automatic Labs, where I built products leveraging 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 the 15-person startup, wearing many hats across strategic finance, business development, and product marketing. I also played 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 transactions and debt financing. It's been really interesting having sat on both sides of the deal table.

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 and engineering wasn’t that cool.

In my spare time, I organize tea experiences and try my hand at Japanese-style ceramics. I am obsessed with looseleaf tea and tea culture, and can usually be found eating noodles and scoping out new restaurants. My retirement job will be to start a tea company focused on sharing tea and tea culture with the world. I'm cataloguing the best coffee shops to work from at www.wfcoffeeshop.com.

Currently reading

The Artist’s Way

Currently listening

My Discover Weekly on Spotify

my go-to restaurant

Cocoron, no-frills soba shop in lower east side

favorite restaurant

Raku, best udon in new york, and possibly the united states

“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