Fei Guo in

Fei Guo

Critic · DISC type C
Head of Growth Engineering at Superhuman
📍 Menlo Park, California, United States

Fei Guo is the Head of Growth Engineering at Superhuman, specializing in analytics and applied machine learning. With over seven years of management experience, he has a track record of leading growth at major tech companies including TikTok, Tencent, Facebook, and Uber. He holds a Master of Science from the National University of Singapore.

He holds patents for innovative technologies such as "Contextual geocoding" and "Intelligent Promotion Targeting. "

Read the full overview →
Experience
5 Years
Current Role
Head of Growth Engineering
Job Level
Mid-senior
Location
Menlo Park, California, United States
Personality Overview

How Fei shows up

Critic
ROI Driven
Precise

It is very likely that they will negotiate pricing or other important terms. They prefer to do logical analysis and value evidence over emotions. Unless the value is proven by data, they are unlikely to value fancy features.

Priorities

Topics Fei cares about

Contextual AI Assistants
His current primary focus at Superhuman is building an in-context AI assistant that proactively helps users across different applications without needing explicit prompts.
Growth Engineering
This is his core expertise, demonstrated through leadership roles where he scaled user acquisition, engagement, and retention for companies like TikTok and Tencent.
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Career

Work history

6-2025
Head of Growth Engineering
Superhuman
Growth Advisor
OKX
Advisor
Gen
5-2023 - 7-2025
Head of Growth, TikTok Shop, Senior Director
TikTok
11-2020 - 5-2023
GM of Engineering, Growth
Tencent
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
9-2009 - 12-2010
Master of Science - MS
National University of Singapore
2007 - 2010
Diplome d'ingenieur (Master)
Ecole Nationale Supérieure des Télécommunications (Telecom Paris)
Social presence
in
Behavioral profile

DISC profile (public)

C

Calculativeness (C)

Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.

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Decision Minds
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