Wealth management and financial planning platform for high-net-worth clients
Brighton Jones operates a financial services firm built on Salesforce (Sales Cloud, Service Cloud) and Microsoft enterprise stack (Azure, M365), now shifting toward automation and document workflows via PowerShell, Azure Logic Apps, and DocuSign. The hiring surge is finance-heavy (26 of 41 roles), pointing to client growth outpacing operational scaling—a classic pattern when advisory firms scale beyond founder bandwidth. Active projects in AI-powered tools and platform modernization suggest internal tooling is becoming a competitive lever as client complexity grows.
Notable leadership hires: Growth Director, Lead Advisor
Brighton Jones is a Seattle-based wealth management and financial planning firm founded in 1999, serving high-net-worth clients across investments, tax strategies, trusts and estates, philanthropy, and retirement planning. The company employs 201–500 people and operates through a combination of Salesforce CRM, Microsoft enterprise infrastructure, and custom integrations (MuleSoft, Boomi, Informatica). Client onboarding and advisory workflows are core operational surfaces, as is tax compliance infrastructure (CCH). Current scaling efforts center on expanding the local service team, modernizing the Salesforce platform, and automating backend processes (payroll, document generation).
Salesforce (Sales Cloud, Service Cloud), Microsoft Azure and M365 (including Entra, Intune, Exchange Online), AWS, GCP, MuleSoft, Informatica, Python, PostgreSQL, ADP/Dayforce for payroll, and DocuSign for document workflows.
Yes, but at a modest pace. Out of 41 active roles, 4 are engineering positions, versus 26 finance roles. Hiring velocity is accelerating across the organization.
Seattle, Washington. The company also has hiring activity in Peru and is expanding its local service team footprint.
Brighton Jones'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.