IT staffing and services firm scaling sales and delivery operations
TetraHed is a 51–200-person IT staffing and services firm based in Austin, now actively hiring across sales, data, and product to drive client acquisition and operational scale. The tech stack reflects a data-intensive staffing operation: Salesforce for CRM, LinkedIn Recruiter for sourcing, Python and PySpark for pipeline analytics, plus AWS/GCP data warehousing (BigQuery, Athena, RDS, DynamoDB). Current pain points center on time-to-fill velocity, margin protection, and cross-timezone coordination — all classic friction points for high-volume staffing shops scaling into new verticals beyond IT.
TetraHed delivers IT staffing, recruitment, and end-to-end technology services to mid-market and enterprise clients. The firm positions itself across the full application lifecycle: architecture, development, deployment, maintenance, and support, with stated experience across Microsoft, Oracle, SAP, IBM, Salesforce, and cloud platforms. Operationally, the business runs through recruiting consultants, proposal-driven sales, and client-specific project delivery. Current strategic focus includes expanding into non-IT staffing verticals, improving time-to-fill metrics, and building scalable sourcing playbooks to compete in a crowded staffing market.
Salesforce, LinkedIn Recruiter, Python, PySpark, Google Apps Script, AWS (QuickSight, Athena, RDS, Glue), GCP BigQuery, MySQL, DynamoDB, Jira, Kubernetes, OpenShift, Power BI, and Dynatrace monitoring.
Austin, Texas. The firm operates as a privately held company with 51–200 employees across staffing and services delivery.
Other companies in the same industry, closest in size
TETRAHED INC'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.