All-in-one shop management and payments platform for auto repair shops
Tekmetric runs shop management, payments, marketing and reporting for independent and multi-location auto repair shops. Its stack pairs a Java/Spring and React core with a data layer of Scrapy, Airflow, Spark, Tesseract, PyMuPDF and pgvector, pointing to a crawl-and-parse pipeline feeding RAG-based AI features. Hiring is accelerating and sales-led, with director-level openings in product, people and growth.
Notable leadership hires: Product Director, People Operations Director, People Partnerships Director, Growth & Demand Head
Tekmetric is a Houston, Texas-based software company founded in 2017 that builds a unified operating platform for auto repair shops. The product covers shop management, digital vehicle inspections, labor guides, inventory, integrated payments, built-in marketing and real-time reporting, with support for multi-shop and franchise operators. It sells to repair shop owners across the United States. The privately held company employs 201–500 people and hires in the United States.
Tekmetric uses Java, Spring, MySQL, React and Redux on AWS and GCP, with Kubernetes, Docker and Terraform, plus Airflow, Spark, Redshift, pgvector and Elasticsearch for data, and Stripe, Salesforce and HubSpot.
Yes, hiring is accelerating and weighted toward sales, with additional roles in engineering, product and marketing, plus director-level leadership hires in product and people operations, all in the United States.
Tekmetric is building AI product initiatives, including RAG pipeline design, a large-scale data ingestion and classification system, distributed crawling infrastructure, and new revenue-generating partner programs.
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Tekmetric'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.