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Great Gray Trust Company Tech Stack

Trustee platform for collective investment trusts with governance tools

Financial Services Las Vegas, Nevada 51–200 employees Founded 2023 Privately Held

Great Gray is a Las Vegas-based trust company (founded 2023) focused on CITs—collective investment trusts used by retirement plans and institutions. The tech stack reveals a traditional institutional finance operation: .NET/Java backends on Azure, SQL databases (PostgreSQL, SQL Server), and marketing automation (HubSpot, Marketo, Salesforce Marketing Cloud) paired with FactSet for asset data. Hiring is skewed toward legal (3 roles) and marketing (2) rather than engineering (1), matching their current focus on fund creation, CIT asset conversions, and M&A legal strategy—operational scaling, not product velocity.

Tech Stack 32 technologies

Core StackHubSpot Marketo PostgreSQL SQL Server MySQL Angular React Next.js Java Jira Salesforce .NET JavaScript Vue Terraform Active Directory Prometheus Grafana OpenTelemetry Salesforce Marketing Cloud NET Core FactSet Azure Kubernetes Service Azure App Service Azure Virtual Machine Scale Sets SQL Server Reporting Services SQL Server Integration Services Application Insights Azure Monitor Jaeger+1 more

What Great Gray Trust Company Is Building

Challenges

  • Large conversions of cit assets
  • Mergers and acquisitions
  • Converting cit assets from other trust companies
  • M&a activities
  • Pipeline generation
  • Lead handoff alignment
  • Database hygiene
  • Managing fund restructurings or closures
  • Implementing sub-advisor changes
  • Introducing new fee classes

Active Projects

  • Creation of new funds
  • Large conversions of cit assets
  • Oversee legal content on rpag platform
  • Cit asset conversion
  • M&a legal strategy
  • Negotiating agreements with subadvisors
  • Creating new funds with private market exposure
  • Legal strategies for large cit asset conversions
  • Email and paid media campaigns
  • Data-driven outbound sequences

Hiring Activity

Accelerating9 roles · 7 in 30d

Department

Legal
3
Marketing
2
Sales
2
Engineering
1
Operations
1

Seniority

Senior
5
Mid
3
Lead
1
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About Great Gray Trust Company

Great Gray Trust Company acts as trustee for collective investment trusts, managing institutional retirement assets and maintaining fiduciary oversight. The company serves plan sponsors and institutional investors through a combination of traditional trustee services and modern tooling (BoardingPass® onboarding platform). Core operational priorities include creating new funds, executing large CIT asset conversions between trust companies, managing sub-advisor relationships, and handling fund restructuring. The organization operates at the intersection of compliance-heavy legal work and growth-oriented sales expansion, with active initiatives around M&A, fee structure changes, and pipeline generation.

HeadquartersLas Vegas, Nevada
Company Size51–200 employees
Founded2023
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Great Gray Trust Company use?

Backend: .NET Core, Java, PostgreSQL, SQL Server, MySQL. Frontend: Angular, React, Next.js, Vue. Infrastructure: Azure (AKS, App Service, VMs), Terraform. Monitoring: Application Insights, Azure Monitor, Prometheus, Grafana. Sales/marketing: HubSpot, Salesforce, Marketo.

What is Great Gray Trust Company working on?

Creation and conversion of CITs, M&A legal strategy, sub-advisor negotiations, fund restructuring, and sales expansion—email/paid campaigns and data-driven outbound sequencing. Current operational friction: large CIT asset conversions, lead handoff alignment, and database hygiene.

How this profile is built

Great Gray Trust Company'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.