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
MT

Mickey Tantiphipop

Cento Ventures

VC Firm
Early Stage Growth Investment Management Technology Media And Telecom Tmt +1 more
KK

Katherine Kim

Angel / Independent

Angel Investor
Seed Consumer Internet Financial Services E-Commerce +1 more
FS
Angel Investor
Seed Early Stage Digital Health Ad Tech Mobile Commerce +6 more
CF

Charlie Feng

Angel / Independent

Angel Investor
Seed Marketplaces Esports SaaS +5 more
JB

Jonathan Brelig

Angel / Independent

Angel Investor
Seed Big Data Artificial Intelligence Machine Learning Technology +2 more
TL

Teigi Lee

Angel / Independent

Angel Investor
Seed E-Commerce
IT

Ian Taylor

Pear.vc

Angel Investor
Pre-Seed Seed Crypto Web3 Blockchain Big Data Sales And Marketing +6 more
AB

Ashley Broomberg

Mobeus Equity Partners

Angel Investor
Seed Early Stage Marketing Investment Management SaaS +6 more
CP

Clint Peterson

Peterson Partners

Angel Investor
Seed Early Stage Investment Management Internet Of Things Iot SaaS +7 more
RK

Rishi Khanna

Angel / Independent

Angel Investor
Seed Online Dating E Commerce Platforms Lifestyle +3 more
KH

Kaoru Hayashi

Kakaku.com

Angel Investor
Early Stage E-Commerce Technology
MD

Marc Dragon

Reefknot Investments

Angel Investor
Early Stage Growth Internet Of Things Iot Supply Chain Management SaaS +5 more
GW

Greg Wasson

Wasson Enterprise

Angel Investor
Pre-Seed Seed Investment Management Biotechnology Healthcare +6 more
VB

Vincent Bazi

NextStage AM

Angel Investor
Early Stage Investment Management Financial Services Energy Clean Tech +7 more
MF

Maurice Faber

EMH Partners

Angel Investor
Seed Early Stage Investment Management Internet Of Things Iot Augmented Reality +6 more
SP

Sanjay Panchal

Livingbridge

Angel Investor
Seed Early Stage Investment Management Ad Tech 3d Technology +7 more
LB

Luis Bermejo

Alaya Capital

VC Firm
Seed Early Stage Investment Management Ad Tech 3d Technology +7 more
JH

James Halperin

Angel / Independent

Angel Investor
Seed Healthcare Commercial Real Estate Nonprofits +7 more
AB

Antonio Bonchristiano

GP Investments

Angel Investor
Growth PE Growth/Expansion Games Gaming Energy Clean Tech Manufacturing +6 more
MT

Michael Trica

Angel / Independent

Angel Investor
Seed Investment Management Internet Of Things Iot Consumer Internet +6 more
ZT

Zak Tanjeloff

Angel / Independent

Angel Investor
Seed Internet Film Production Distribution Entertainment Leisure +7 more
WR

William Reeve

Angel / Independent

Angel Investor
Seed Financial Technology Fintech Real Estate Construction Technology +2 more
DS

David Smith

Angel / Independent

Angel Investor
Seed Social Networking Space Travel Technology Augmented Reality +6 more
AA

Alexis Alston

Lightship Capital

VC Firm
Seed Early Stage Healthcare Services Consumer Internet Artificial Intelligence Machine Learning +7 more
JS

Jonathan Smiga

KEEN Growth Capital

VC Firm
Seed Early Stage Investment Management Food Tech Manufacturing +2 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.