About Monolith
ecommerce, amazon, private equity, online retail, business growth, online marketing, dtc, supply chain, baby products, pet supplies, outdoor gear, maternity, brick, mortar, ecom, marketplaces, big box retail, investment, acquisition, health
Monolith's Tech Stack
Frontend
Mobile
AI/ML
Cloud
Decision Makers at Monolith
1 contactCorey Lord
Director of Data Engineering
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Monolith operates in retail or e-commerce. Strong sales angles include checkout optimization, inventory management, customer loyalty, and fulfillment automation.
Monolith's Position in the StackWho Database
- • Monolith is 1 of 6,762 retail companies tracked in StackWho.
- • 6,733 retail companies in our database have verified decision-maker emails (100% of the cohort).
- • 23,956 companies in New York are in the StackWho database.
- • 368 retail companies are in the 51-200 employee range (same size as Monolith).
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 Monolith use?
Monolith uses Route 53, Outlook, Mobile Friendly, Squarespace ECommerce, Typekit, Android, and 2 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Monolith?
StackWho has verified email addresses for 1 decision maker at Monolith. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Monolith directly for sales, recruiting, or partnerships.
What industry is Monolith in?
Monolith operates in the retail 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 Monolith's contact data?
Yes. StackWho Pro members can export decision maker contact data for Monolith 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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Decision Makers
Corey Lord
Director of Data Engineering