E-Commerce Investors

Find E-Commerce investors actively deploying capital. VC Sift gives you direct access to email addresses and LinkedIn profiles for E-Commerce-focused venture capitalists, angels, and institutional investors at every stage.

8,110 investors
NP

Nicholas Pyett

Camelotvg

Angel Investor
Growth PE Growth/Expansion Big Data Investment Management Internet Of Things Iot +6 more
CL

Charles La

Angel / Independent

Angel Investor
Seed Digital Media Deep Information Technology E-Commerce +1 more
KN

Karthik Nageswaran

Kalaari Capital

VC Firm
Seed Early Stage Internet Of Things Iot Mobile Commerce Education Technology Edtech +7 more
CJ

Cathy Jiang

Alpha Square Group

Corporate VC
Seed Early Stage Food Tech Technology Media And Telecom Tmt +2 more
LD

Leif Danielsen

Acequia Capital

VC Firm
Seed Early Stage Big Data Investment Management Digital Health +7 more
MG

Marc Guy

Amazon

Angel Investor
Early Stage It Management Financial Services E-Commerce +2 more
FK

Faisal Kawar

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Investment Management Insurance +6 more
CS

Chris Shanahan

DFJ Growth

Angel Investor
Seed Early Stage Crypto Web3 Blockchain Big Data Investment Management +7 more
TN

Thomas N. Parks

Sonoma Brands Capital

VC Firm
Seed Early Stage Investment Management Food Tech Manufacturing +4 more
PM

Pete McCormick

Angel / Independent

Angel Investor
Seed Consumer Internet Financial Technology Fintech E-Commerce
DJ

Danny Jones

Tower Arch Capital

VC Firm
PE Growth/Expansion Buyout Investment Management Technology Media And Telecom Tmt +2 more
AT

Alexandre Tremblin

Siparex Groupe

Corporate VC
Seed Early Stage Education Technology Edtech Financial Technology Fintech Manufacturing +6 more
DD

Daniel Darling

Angel / Independent

Angel Investor
Seed Growth Analytics Social Networking Education Training +5 more
MM

Mark Millard

East Rock Capital, LLC

VC Firm
Early Stage Big Data Investment Management Ad Tech +7 more
SB

Scott Bronson

Roth Capital Partners

VC Firm
Seed Early Stage Banking Food Tech SaaS +7 more
KM

Katerina Markov

Angel / Independent

Angel Investor
Seed Healthcare Social Commerce Social Games +7 more
SB

Sep Baan

Capitalapartners

VC Firm
PE Growth/Expansion Buyout Investment Management Energy Clean Tech Manufacturing +4 more
JS

Joelle Sostheim

Provident Ventures

VC Firm
Seed Early Stage Big Data Investment Management Digital Health +7 more
DR

Dominic Rafiy

Sirius Venture Partners

VC Firm
Seed Early Stage Education Technology Edtech SaaS Energy Clean Tech +7 more
CS

Chris Stanczuk

KarpReilly

Angel Investor
Seed Early Stage Investment Management Energy Clean Tech Manufacturing +5 more
CH

Chris Howard

Angel / Independent

Angel Investor
Seed Marketplaces Social Networking Cloud Infrastructure +6 more
JH

Jochen Haller

Angel / Independent

Angel Investor
Seed E-Commerce
SD

Stanislav Dolzhikov

Angel / Independent

Angel Investor
Seed Technology Media And Telecom Tmt E-Commerce
UH

Urs Haeusler

Angel / Independent

Angel Investor
Seed Marketplaces Healthcare Insurance +4 more
NB

Nadja Borisova

VNV Global

Angel Investor
Seed Early Stage Digital Health SaaS E-Commerce +1 more

Frequently Asked Questions about Institutional LP Investors

VC Sift maintains a comprehensive list of E-Commerce investors across all stages, from pre-seed angels to growth-stage VC firms. Our database includes verified contact information for each investor.
The E-Commerce space includes investors active at every stage. Use our filters to narrow down by pre-seed, seed, Series A, and beyond to find the right stage match for your company.
Yes. VC Sift Essentials subscribers can export up to 1,000 E-Commerce investor contacts per month as a CSV file. Pro subscribers have unlimited exports.
Combine the E-Commerce sector filter with a country filter on the VC Sift search page to find investors matching both criteria. You can also browse our pre-built sector + country combo pages.
VC Sift validates email addresses and updates investor records on a rolling basis. We use a combination of automated verification and manual research to maintain data accuracy.