Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Stay tuned ...
LinkedIn followers
24,086
People associated on LinkedIn
517
Reported office locations
2440 W El Camino Real, Suite 101, Mountain View, California 94040, US
270 Madison Ave, Suite 701, New York, NY 10016, US
1 Chome-3-1 Azabudai, Floor 27, Minato City, Tokyo 13, 106-0041, JP
Paxton House 30 Artillery Lane, London, E1 7LS, GB
Werklab, 290-1275 Venables Street, Vancouver, BC V6A 2E4, CA
21 Avenue Thiers, Office 113-B, Nice, 06000, FR
Business categories
Data Management
Software
Cloud Computing
Marketing Automation
Analytics
Big Data
Artificial Intelligence (AI)
Enterprise Software & Network Solutions
Information Technology
Other recorded names
Treasure Data
Treasure AI
Specialties
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
and Digital Marketing
Profile identifies a recruitment agency
No
Reported total investment
288,050,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Software Development
Size
501-1,000 employees
Headquarters
Mountain View, California
Organization type
Privately Held
Year founded
2011
Specialties
Data AcquisitionData processingAdvanced AnalyticsCustomer DataCustomer Data PlatformMarketing360 Customer View360 Customer PlatformData ManagementAnalytics
Treasure AI has 2 open jobs in Canada as of November 6, 2026. Top locations: Vancouver.
5+ YOECandidates need 5+ years of professional software engineering experience, strong backend skills (Ruby, Go, Java or Kotlin preferred), and working React knowledge. They also need distributed systems and cloud experience and a bachelor's degree in Computer Science or equivalent experience.
React, AWS, GCP, Azure, GitHub Copilot, Claude Code
5+ YOECandidates need 5+ years of enterprise SaaS product management, ideally with AI or data-driven products, plus a bachelor's degree. Strong knowledge of generative AI, LLMs and agent tools is needed, along with leadership and Agile experience.
Claude Code, Claude Cowork, Claude Design, Codex, LangChain, AutoGen