Salla runs a Makkah-based commerce platform for GCC merchants, and its stack shows a serious in-house AI layer: vLLM, LiteLLM, LangGraph, KServe and Ray, monitored through Arize and LangSmith. Job posts point to AI reliability, prompt-change risk and cost-latency trade-offs, alongside UAE tax compliance, a new finance branch and public-listing readiness. Together these suggest regional expansion and IPO preparation, with hiring weighted toward product and senior talent.
Notable leadership hires: Head of Security
Salla provides an e-commerce platform built in Saudi Arabia that lets merchants and entrepreneurs create online stores, manage operations and reach shoppers. Its offering spans store-building tools, merchant services and a broader partner ecosystem aimed at businesses at different growth stages across the GCC. The company is headquartered in Makkah and employs 201–500 people. Infrastructure runs on AWS with Kubernetes on EKS, while data work spans BigQuery, ClickHouse, Redshift and dbt, and applications draw on MySQL, PostgreSQL and MongoDB.
Salla runs on AWS with Kubernetes (EKS) and GitOps, uses Python and TypeScript, and stores data in MySQL, PostgreSQL and MongoDB. Its analytics stack includes dbt, BigQuery, ClickHouse and Redshift, and its AI tooling includes vLLM, LangChain and MLflow.
Yes. Salla's hiring centers on product and engineering, with data roles close behind and a strong tilt toward senior and staff levels. It is also recruiting a Head of Security, although overall hiring velocity is slowing.
Salla's job posts point to an AI observability platform, an AI cost governance dashboard and an integration layer for onboarding providers. Other work covers cloud and network security hardening and UAE corporate tax compliance.
Other companies in the same industry, closest in size
Salla'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.