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2397

Jerry Yao

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Jerry Yao
CEO & Co-Founder of
Saffron (2011)
About

Jerry Yao is Co-Founder at Saffron, a Y Combinator-backed AI platform that helps companies identify and hire 10x software engineers in the age of AI-assisted coding.

Before founding

Jerry studied Computer Science at Stanford University and gained industry experience at Jane Street, one of the world's most selective quantitative trading firms.

Founder Insights

Jerry and his co-founders recognized firsthand that traditional coding interviews no longer reflect how engineers actually work, as AI tools have fundamentally transformed the software development process.

Experience

Saffron is backed by Y Combinator (P26) and Afore Capital, and gives candidates a real codebase with full AI tooling while capturing every prompt, diff, and decision for automated scoring.

Scale & Impact

Saffron is addressing a critical gap in technical hiring by giving teams structured, deterministic metrics on how candidates build with AI, shifting evaluation from LeetCode-style tests to real-world engineering judgment.

2397

Jerry Yao

Saffron
Co-Founder
Logo
Jerry Yao

Company(s)

Saffron

Industry

SaaS

Stage/Funding

N/A

Company Location

us

Connect

About

Jerry Yao is Co-Founder at Saffron, a Y Combinator-backed AI platform that helps companies identify and hire 10x software engineers in the age of AI-assisted coding.

Before founding

Jerry studied Computer Science at Stanford University and gained industry experience at Jane Street, one of the world's most selective quantitative trading firms.

Founder Insights

Jerry and his co-founders recognized firsthand that traditional coding interviews no longer reflect how engineers actually work, as AI tools have fundamentally transformed the software development process.

Experience

Saffron is backed by Y Combinator (P26) and Afore Capital, and gives candidates a real codebase with full AI tooling while capturing every prompt, diff, and decision for automated scoring.

Scale & Impact

Saffron is addressing a critical gap in technical hiring by giving teams structured, deterministic metrics on how candidates build with AI, shifting evaluation from LeetCode-style tests to real-world engineering judgment.

About

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