Eric Suh
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Eric Suh Email & Phone Number

Principle Software Engineer at Microsoft
Location: San Francisco Bay Area, United States 11 work roles 3 schools
2 work emails found @ericsuh.com 4 phones found area 415 and 617 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 4 phones

Work email c****@ericsuh.com
Direct phone (415) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Principle Software Engineer
Location
San Francisco Bay Area, United States

Who is Eric Suh? Overview

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Quick answer

Eric Suh is listed as Principle Software Engineer at Microsoft, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at ericsuh.com, phone signal with area code 415, 617, and a matched LinkedIn profile for Eric Suh.

Eric Suh previously worked as Software Engineer at Descript and Engineering Manager, Cloud Docs at Dropbox. Eric Suh holds B.A., M.A., Chemistry And Chemical Biology from Harvard University.

Company email context

Email format at Microsoft

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*@ericsuh.com
71% confidence

AeroLeads found 2 current-domain work email signals for Eric Suh. Compare company email patterns before reaching out.

Profile bio

About Eric Suh

Scientist-turned-software engineer. I love building customer-centric products and growing inclusive, high-performance teams.

Listed skills include Computational Biology, Molecular Biology, Python, Statistics, and 19 others.

Current workplace

Eric Suh's current company

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Microsoft
Microsoft
Principle Software Engineer
California, United States
AeroLeads page
11 roles

Eric Suh work experience

A career timeline built from the work history available for this profile.

Principle Software Engineer

California, United States

Software Engineer

Current

San Francisco, Ca, Us

Jun 2020 - Present

Engineering Manager, Cloud Docs

San Francisco, California, Us

• Led a full-stack team and managed 12-team collaboration to ship cross-platform integrations, including Google Docs, Sheets, and Slides and Paper 2020. This grew cloud editor WAUs by 50%. • Scaled initial team of 5 engineers into two teams totaling 13 people in one year while hitting non-negotiable deadlines.• Chaired hiring committees deciding senior/staff engineering hires.

Oct 2017 - May 2020

Staff Engineer

San Francisco, California, Us

Jan 2017 - Oct 2017

Tech Lead, Sharing

San Francisco, California, Us

• Led a full-stack product team to ship File Requests, file-level ACLs, Dropbox’s first universal APIs powering all platforms (mobile, web, desktop, 3rd party SDKs), team’s migration to React, and web performance and accessibility improvements. File ACLs grew in-product sharing by 60%. • Introduced company-wide engineering review process.

Jun 2015 - Oct 2017

Software Engineer

San Francisco, California, Us

• Built company-wide dev/CI framework that improved build reproducibility by isolating tests from production configuration changes (e.g. feature flags, email campaigns).• Built data pipelines and self-serve process automation tools for customer support, marketing, legal, and security. • Built credit card payments reconciliation system to support new payment processors.

May 2013 - Jun 2015

Graduate Student Researcher

Princeton University

Developed algorithms combining supervised and unsupervised machine learning techniques to find most predictive features in time series gene expression data, and in doing so discovered new RNA biology in human fibroblasts. Used non-linear regression and motif analysis to understand factors affecting mRNA and protein expression.

Sep 2007 - May 2013

Teaching Assistant

Princeton University

Assisted professors in teaching two courses:- A Quantitative Introduction to Molecular Biology, including an introductory molecular biology laboratory class- Immunology

Sep 2009 - Jun 2010

Undergraduate Researcher

Cambridge, Massachusetts, Us

Contributed to studies towards the total syntheses of three complex natural product molecules in the organic chemistry laboratory of David A. Evans.

Apr 2005 - May 2007

Teaching Fellow

Cambridge, Massachusetts, Us

Led discussion and problem-solving sessions to supplement class lectures for second semester organic chemistry, and graded exams.

Feb 2006 - Jun 2006

Undergraduate Researcher

Cambridge, Massachusetts, Us

Synthesized artificial amino acid helical peptide inhibitors of signal peptide peptidase and alkyl-bridge stabilized helical peptide inhibitors of gamma secretase in the laboratory of Michael S. Wolfe in the Center for Neurological Disease at the Harvard Institute of Medicine, a joint center by Harvard University and Brigham and Women's Hospital.

Jun 2004 - Aug 2004
3 education records

Eric Suh education

B.A., M.A., Chemistry And Chemical Biology

Harvard University

Ph.D., Molecular Biology, Quantitative Computational Biology

Princeton University

High School

Isidore Newman
FAQ

Frequently asked questions about Eric Suh

Quick answers generated from the profile data available on this page.

What company does Eric Suh work for?

Eric Suh works for Microsoft.

What is Eric Suh's role at Microsoft?

Eric Suh is listed as Principle Software Engineer at Microsoft.

What is Eric Suh's email address?

AeroLeads has found 2 work email signals at @ericsuh.com for Eric Suh at Microsoft.

What is Eric Suh's phone number?

AeroLeads has found 4 phone signal(s) with area code 415, 617 for Eric Suh at Microsoft.

Where is Eric Suh based?

Eric Suh is based in San Francisco Bay Area, United States while working with Microsoft.

What companies has Eric Suh worked for?

Eric Suh has worked for Microsoft, Descript, Dropbox, Princeton University, and Harvard University.

How can I contact Eric Suh?

You can use AeroLeads to view verified contact signals for Eric Suh at Microsoft, including work email, phone, and LinkedIn data when available.

What schools did Eric Suh attend?

Eric Suh holds B.A., M.A., Chemistry And Chemical Biology from Harvard University.

What skills is Eric Suh known for?

Eric Suh is listed with skills including Computational Biology, Molecular Biology, Python, Statistics, Machine Learning, Data Analysis, Genomics, and Cell Biology.

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