Green Street Tech Stack

Commercial real estate intelligence platform with proprietary data collection and analytics

Financial Services Newport Beach, California 201–500 employees Privately Held

Green Street operates a data-driven research and advisory platform for commercial real estate markets across North America, Europe, and Asia-Pacific. The tech stack (AWS, Python, PostgreSQL, Redshift, Power BI) supports a data pipeline architecture, while active hiring skews heavily toward sales (12 roles) over engineering (3 roles)—indicating a growth-through-distribution phase where the core product is mature and the focus has shifted to market expansion and account management. Pain points center on sales velocity, account retention, and upselling into existing customers, not product scaling.

Tech Stack 55 technologies

Core StackAWS MySQL PostgreSQL Python Salesforce C# Vue Angular React TypeScript Salesloft Gong Pandas Flask FastAPI Confluence Jira Mailchimp GraphQL Power BI ZoomInfo Redshift MongoDB JavaScript PHP Amazon RDS Microsoft Access SQLAlchemy Paylocity Vuex+19 more

What Green Street Is Building

◆Challenges

High-volume pipeline management
Expanding field coverage
Improving retention outcomes
Mitigating account attrition
Turning qualified prospects into new clients
Continued growth trajectory
Increasing sales velocity
Increasing revenue from existing accounts
Renewing accounts with higher pricing
Identifying upsell opportunities

▲Active Projects

Retail data collection
Prospect engagement campaigns
Nationwide field coverage expansion
Data ingestion and etl processes
Data modeling and schema design
Data architecture optimization
Expansion into uk and european retail market
Market-focused reports
Sector quick takes
Weekly covert price collection in discounter stores

Hiring Activity

Accelerating30 roles · 25 in 30d

Department

Sales

Research

Data

Engineering

Support

Media

Seniority

Senior

Junior

Mid

Lead

Manager

Company intelligence

Find more companies like Green Street by tech stack, pain points and active projects

Get started free

About Green Street

Green Street provides research, analytics, advisory services, and market intelligence for commercial real estate and infrastructure investors. Founded in 1985, the company combines proprietary field data collection (including in-store price monitoring), forward-looking market research, and predictive analytics to serve institutional clients across the U.S., Canada, Europe, Asia, and Australia. The platform combines regulated investment advisory products with non-regulated research and news publications. Operations span data ingestion and ETL pipelines, market-focused reporting, and sector analysis, with active expansion into UK and European retail market coverage.

HeadquartersNewport Beach, California

Company Size201–500 employees

Hiring MarketsUnited Kingdom, Bulgaria, Australia, United States

Frequently Asked Questions

What tech stack does Green Street use?

Primary stack: AWS, Python, PostgreSQL, MySQL, and Redshift for data warehousing. Frontend: React, Vue, Angular, TypeScript. Analytics: Power BI. Operational: Salesforce, Jira, Confluence, Gong for sales enablement.

Where is Green Street headquartered and where do they hire?

Headquartered in Newport Beach, California. Active hiring in United States, United Kingdom, Bulgaria, and Australia, reflecting geographic expansion into European and Asia-Pacific markets.

What is Green Street working on?

Current initiatives include expanding field coverage nationwide and into UK/European retail markets, building data ingestion and ETL processes, optimizing data architecture, and launching market-focused reports and sector analyses. Weekly covert price collection in discount retailers feeds the proprietary data layer.

How this profile is built

Green Street's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.