ElevenLabs  (Today)

I'm currently working on ElevenLabs first consumer-facing product, Reader. It's an app that lets you listen to any content on the go with the highest quality voices.

ElevenLabs is an AI audio research and deployment company backed by Sequoia Capital & a16z.

Chegg Skills (2021 - 2024)

Previously, I led growth and marketing for Chegg Skills, a business line within Chegg (NYSE:CHGG). I joined to help integrate the acquisition of Thinkful, an online coding bootcamp that prepped learners for tech careers.

My focus was growth strategy, revenue leadership, new product innovation, and talent management. I led new growth initiatives with Guild and directed a company-wide rebrand.

Panorama Education (2014-2019)

Before that, I joined Panorama Education, an early-stage education company backed by Y-Combinator, Emerson Collective, Chan-Zuckerberg Initiative, and Google Ventures. Our mission was to radically improve student outcomes in K-12 schools.

I was the company's first marketing hire, tasked with generalist marketing, growth, and analytics initiatives. I led the launch of new products, directed customer documentaries and wrote data stories.

At Panorama, I led a team of engineers and educators to build a free classroom survey that 100K+ students and teachers used to discover their commonalities. We partnered with researchers at Harvard whose findings were later featured on NPR's Hidden Brain.

Today Panorama supports 15 million students every year — nearly one in three K-12 students in the US.

Speech4Good (2011-2013)

While in college, I founded Speech4Good to develop mobile apps for stuttering. I wanted to help people (like me) with speech impediments gain access to proven therapy tools from their pocket.

Over two years, our team launched several apps in the earlier days of the App Store. Our apps reached 25K+ paying users, earned 4.9+ star ratings, and were recognized as one of Inc. Magazine's "Coolest College Startups".

Fluently (2012)

I designed Fluently to help users visualize stuttering. Based on speech research, our team developed advanced models that analyzed real-time audio patterns and detected moments of disfluency.

The app was well-received by speech therapists and users alike. Yet the technical work proved more difficult than imagined, and we sunsetted it a year later.

Looking back, it's still one of my favorites.