CMS-EE Partners Tech Talk with Field Guide
From Caltech to Vertical AI: Scaling Your Career at Fieldguide
Hear from Caltech alumni, the VP of Product, and the CTO of Fieldguide about building cutting-edge vertical AI products for CPAs and auditors. Learn about the unique growth opportunities, high-trust culture, and high-impact engineering work available at a high-growth startup.
Speakers: Chris Szymansky, Dhruv Dhingra, and Jae Kim
- Chris Szymansky is the Co-Founder and CTO of Fieldguide, a vertical AI startup reinventing how the $200B audit and advisory industry works. With over 15 years building and scaling tech companies, Chris has led engineering teams in complex regulated spaces, including HR and legal tech, before co-founding Fieldguide. Fieldguide has raised over $125M from Y Combinator, Goldman Sachs, Bessemer Venture Partners, 8VC, Floodgate, Elad Gil, and many more. He's here to share what it takes to build a startup from idea to scale.
- Dhruv Dhingra is VP of Product at Fieldguide, where he leads the product, agent architects, and product marketing teams. Known for taking products from "0 to 1," Dhruv previously founded and scaled multiples business units at Carta, and Airbnb. He started his career at McKinsey & Company's New York office, building out the firm's SaaS practice in addition to advising large Private Equity firms on their acquisitions. He is also a 2x former founder. He now sits at the center of building Fieldguide's long horizon agent platform executing complex audit and assurance engagements end to end. He's here to talk about what it's really like building category-defining AI products from the ground up.
- Jae Kim is a founding ML engineer at Fieldguide, focused on turning early AI ideas into products that work for customers. Since joining at Series A, he has worked across research, experimentation, data labeling, evaluation, production engineering, and customer deployment, helping build both the products and the processes needed to improve their quality. Before Fieldguide, he interned at Netradyne, BallerTV, Amazon, and Google and was an 8VC Fellow. He holds a bachelor's degree in Computer Science with a minor in Biology from Caltech, where he graduated in 2023. He's here to share the lessons of taking AI from "0 to 1" and making it reliable enough to scale.