Bio
Daniel is an Associate at Work-Bench where he focuses on sourcing and evaluating new investments, as well as supporting Work-Bench’s portfolio companies. Daniel takes a thematic, research driven approach to investing, focusing on machine learning and AI, developer tools, and future of work. Prior to joining Work-Bench, Daniel was a Product Manager at Hyperscience where he was responsible for pre-trained machine learning models, synthetic data generation, and use case expansion. Previously, he was a Go-To-Market Strategy Lead and began his career at IBM in financial services. In his free time, Daniel helps folks land jobs at top startups through his newsletter, Startupon. Daniel graduated from the Smeal College of Business at Penn State with a B.S. in Finance with a concentration in Corporate Innovation and holds a minor in glaciology.
Career
|
Work-Bench Management LLCEarly-stage venture firm focused on enterprise startupsEmail: [email protected] |