Treasure Data

treasuredata.com

information technology & services

treasuredata.com

Mountain View, California, United States

501-1000 employees

80000000 revenue

LinkedIn Profile

About Treasure Data

data acquisition, data processing, advanced analytics, customer data, customer data platform, marketing, 360 customer view, 360 customer platform, data management, analytics, big data, business analytics, marketing analytics, analytics software, pii, saas, cdp, customer experience, digital marketing, cloud computing

Treasure Data's Tech Stack

AI/ML

Decision Makers at Treasure Data

22 contacts

Kenichiro Nishioka

Chief Technology Officer

k***@treasure-data.com Sign up to view

Daniel Kent

Director of Product Management - Machine Learning & Analytics

d***@treasuredata.com Sign up to view

Vahe Hovhannisyan

Director, AI & Personalization, Professional Services

Gary Lucas

Engineering Manager, Ingest and Storage

g***@treasure-data.com Sign up to view

Hiroshi Nakamura

CTO and VP Engineering

n***@treasure-data.com Sign up to view

Yish Lim

Manager, Machine Learning and Analytics Engineering

y***@treasure-data.com Sign up to view

Mattius McLaughlin

Sr. Director of Engineering, SRE

m***@treasure-data.com Sign up to view

Ivan Petkov

Engineering Manager

i***@treasuredata.com Sign up to view

Satoru Kamikaseda

Director, Technical Support Engineering

k***@treasure-data.com Sign up to view

Behrouz Houshmandi

Director of Engineering

b***@treasure-data.com Sign up to view

Minero Aoki

Engineering Manager

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Charles Vatin

Solutions Engineering Director @ Treasure Data | AI Powered Customer Data Platform

c***@treasure-data.com Sign up to view

Chris Jaure

Engineering Manager

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Stefan Antal

Senior Engineering Manager

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Nazanin Mohammadpour

Senior Solutions Engineering Manager

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Kwangshin Oh

Software Engineering Manager

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Botagoz Suleyeva

QA Engineering Manager

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Scott Mitchell

Senior Director, Solution Engineering

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Dilyan Kovachev

Head of Machine Learning and Analytics Engineering

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Lei Guo

Senior Director of Engineering

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Nate Swanson

Engineering Manager, <Insert New Product Team>

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Mark Tack

Chief Marketing Officer

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17 technologies detected · 22 decision makers · Emails available

Sales Outreach Angle

AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.

Treasure Data's Position in the StackWho Database

• Treasure Data is 1 of 194,140 information technology & services companies tracked in StackWho.
• 193,618 information technology & services companies in our database have verified decision-maker emails (100% of the cohort).
• 53,147 companies in California are in the StackWho database.
• 1,780 information technology & services companies are in the 501-1000 employee range (same size as Treasure Data).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated August 2026.

Frequently Asked Questions

What technology does Treasure Data use?

Treasure Data uses Route 53, Gmail, Google Apps, Microsoft Office 365, Zendesk, Amazon SES, and 11 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Treasure Data?

StackWho has verified email addresses for 22 decision makers at Treasure Data. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Treasure Data directly for sales, recruiting, or partnerships.

What industry is Treasure Data in?

Treasure Data operates in the information technology & services industry, headquartered in Mountain View, California, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Treasure Data's contact data?

Yes. StackWho Pro members can export decision maker contact data for Treasure Data and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.