Wealth and investment advisory firm building a modern data and AI platform
Jordan Park is a San Francisco wealth and family office advisory firm whose stack looks more like a data team's than a typical RIA's: dbt, Snowflake, Airflow and Kubernetes sit alongside Addepar, Bloomberg and FactSet. Salesforce with Apex, Flow and Agentforce points to in-house CRM customization, and job posts center on an enterprise data platform and feeding proprietary data into AI applications. Hiring is minimal and skews senior.
Jordan Park Group provides investment management, wealth management and family office advisory services to individuals, families and institutions. Founded in 2017, the privately held firm is headquartered in San Francisco, CA and employs 51–200 people. Its operations run on portfolio and market data tools including Addepar, Bloomberg and FactSet, with Salesforce supporting client relationships and business development. Reporting is delivered through Tableau, Power BI and Looker on a Snowflake-based data foundation.
Jordan Park uses dbt, Snowflake, Python, Apache Airflow, AWS, Docker and Kubernetes for data, plus Addepar, Bloomberg and FactSet for investments, Salesforce with Agentforce for CRM, and Tableau, Power BI and Looker for BI.
Job posts point to an enterprise data platform, an AI application ecosystem using proprietary data, a next-generation investment platform, and KPI dashboards tracking referral sources and pipeline metrics.
Jordan Park Group is headquartered in San Francisco, California, and currently hires only in the United States. The firm was founded in 2017 and has 51–200 employees.
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Jordan Park Group'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 →
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