MX operates a financial data aggregation and enrichment platform serving banks and fintechs. The tech stack (SQL, BigQuery, Kubernetes on AWS) reflects a data-intensive infrastructure, while the project list reveals a major infrastructure inflection: data center exit and AWS migration underway alongside deployment of Jellyfish, an engineering intelligence platform. Hiring remains engineering-heavy (49 of 98 roles) with strong director/senior concentration, suggesting they're scaling platform maturity and delivery speed—directly aligned with stated pain points around engineering velocity and cycle-time reduction.
MX provides end-to-end solutions for financial institutions and fintechs to aggregate, cleanse, enhance, and act on customer financial data. Founded in 2010 and based in Lehi, Utah, the company operates at scale across a 501–1,000-person organization split primarily between engineering, product, and sales functions. The platform abstracts connectivity to thousands of financial accounts, surfacing actionable intelligence to drive customer financial outcomes. MX is privately held and serves mid-market and enterprise financial services customers.
MX's core stack includes SQL, BigQuery, Kubernetes, and AWS. Supporting tools span GitLab, Jira, Salesforce, and security platforms (Snyk, Tenable, CrowdStrike, Axonius). The company is actively migrating from data centers to AWS.
MX is headquartered in Lehi, Utah. The company is actively hiring in the United States and India, with the majority of open roles concentrated in engineering and product.
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