Next-generation delivery platform for enterprise e-commerce brands
Veho operates a delivery network serving 150 million Americans across 66 markets, with a modern tech stack built on AWS, TypeScript, React, and GraphQL paired with heavy data infrastructure (Databricks, Spark, Airflow, Iceberg). The company is actively building AI capabilities—adopting Gemini and developing a no-code AI agent platform—while tackling operational complexity through network optimization, transportation planning, and package-level orchestration. Engineering and logistics hiring are equally weighted (16 and 14 roles respectively), reflecting a business model that requires both software velocity and supply-chain execution.
Notable leadership hires: Transportation Director, Director of Marketing, Product Director
Veho is a delivery-as-a-service platform that combines logistics infrastructure with SaaS tooling for mid-to-large e-commerce brands. The company offers next-day delivery across a national network, emphasizing measurable operational outcomes: 99% on-time delivery, 4.9/5 customer satisfaction, and reported improvements in refund rates and customer lifetime value. Founded in 2016 and based in New York City, Veho operates a balanced organization across engineering, operations, and logistics, with active investment in AI tooling, driver experience platforms, and facility optimization. The company is actively hiring across engineering, ops, and logistics roles in the United States and Colombia.
Veho's stack spans AWS, GCP, TypeScript, Node.js, React, and GraphQL for application layers; Databricks, Spark, Airflow, and Iceberg for data infrastructure; and Snowflake, Redshift, and BigQuery for analytics. The company is adopting Gemini for AI features.
Veho is headquartered in New York City, NY. The company was founded in 2016 and has 501–1,000 employees, with hiring activity in the United States and Colombia.
Veho'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.