Aayush Upadhyay
Group Product Manager at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAayush Upadhyay is a product leader with 14 years of experience building and scaling consumer and platform products across Google, Facebook Reality Labs, and startups. He blends deep technical roots—early open-source work on MongoDB connectors and hands-on engineering leadership—with product strategy, having led AR/VR, payments, ads, and creator tools from 0→1 to billion-user scale. As Head of Growth at CoinTracker he ran cross-functional teams spanning data, analytics, growth engineering, and marketing, and now leads product efforts at Google. He’s an experienced people manager who has hired and coached engineers, product managers, data engineers, and marketing and ops leads. Comfortable in both research-forward AR platforms and high-throughput growth systems, he excels at turning complex technical constraints into measurable business outcomes. Based in New York, he combines academic CS training from Yale with a proven track record of shipping infrastructure and consumer-facing features.
13 years of coding experience
7 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Yale UniversityDiploma, High School, Diploma, High School at Somerset Academy Charter High School
Stackoverflow
1reputation
1kreached
0answers
1question
Github Skills (7)
data-pipelines10
data-pipeline10
mongodb10
python10
sphinx10
mongodb-database10
dropdown-menu6
Programming languages (2)
Github contributions (5)
yougov/mongo-connector
Jun 2012 - Aug 2012
MongoDB data stream pipeline tools by YouGov (adopted from MongoDB)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:260 commits in 1 month
Contributions summary:Aayush's commits primarily involve adding and modifying files related to interacting with the MongoDB oplog and connecting to a backend search server. These changes suggest a focus on building the infrastructure to stream and process data from a MongoDB cluster into a search service, potentially involving Sphinx. The user contributed to syncing MongoDB data with a Sphinx server, indicating a role in building data pipeline tools. The creation of code also points to the creation of core backend functionality.
sinkstreaming-datapipelinedata-streamconnector
seanhaufler/soundactualcloud
Jan 2013 - Jan 2013
Contributions:49 commits in 1 day
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