Long Pond Capital, LP's Tech Stack
Backend
Frontend
AI/ML
Decision Makers at Long Pond Capital, LP
1 contactSteven Choi
Chief Technology Officer
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Long Pond Capital, LP uses Mimecast, Outlook, Rackspace among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.
Long Pond Capital, LP's Position in the StackWho Database
- • Long Pond Capital, LP is 1 of 4,084 investment management companies tracked in StackWho.
- • 4,071 investment management companies in our database have verified decision-maker emails (100% of the cohort).
- • 23,956 companies in New York are in the StackWho database.
- • 1,525 investment management companies are in the 11-50 employee range (same size as Long Pond Capital, LP).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.
Frequently Asked Questions
What technology does Long Pond Capital, LP use?
Long Pond Capital, LP uses Mimecast, Outlook, Rackspace, Apache, Mobile Friendly, Typekit, and 4 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Long Pond Capital, LP?
StackWho has verified email addresses for 1 decision maker at Long Pond Capital, LP. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Long Pond Capital, LP directly for sales, recruiting, or partnerships.
What industry is Long Pond Capital, LP in?
Long Pond Capital, LP operates in the investment management industry, headquartered in New York, New York, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Long Pond Capital, LP's contact data?
Yes. StackWho Pro members can export decision maker contact data for Long Pond Capital, LP and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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