Cloud POS and restaurant operations platform for global restaurant chains
Posist powers restaurant operations at scale through a unified cloud platform serving 20,000+ restaurants globally. The stack reveals a mature observability and security posture—Prometheus, Grafana, Datadog, New Relic, Wiz, Lacework, and Snyk across monitoring and threat detection—paired with event-streaming infrastructure (Kafka, AWS MSK) built for real-time data flow. The hiring mix is heavily sales-driven (5 sales roles vs. 1 engineering) while simultaneously tackling infrastructure challenges (CI/CD, observability), suggesting the company is scaling go-to-market velocity while stabilizing backend reliability.
Posist is a cloud-based restaurant technology platform serving restaurant operators across 20+ countries. The product consolidates point-of-sale, operations, and guest experience management into a single platform. The company operates from San Francisco with development teams in India and Saudi Arabia. Based on active projects, the company is investing heavily in partner and channel enablement—including onboarding workflows, partner portals, and performance dashboards—alongside infrastructure modernization through event streaming and CI/CD automation. Current pain points center on long sales cycles, partner onboarding friction, and forecasting accuracy across channel partners.
Posist runs on AWS with Kubernetes orchestration, Kafka/AWS MSK for event streaming, and observability via Prometheus, Grafana, Datadog, and New Relic. Security tools include Wiz, Lacework, and Snyk. Sales and recruitment run on Salesforce, HubSpot, and LinkedIn Recruiter.
Yes. Sales represents 5 of 9 current active roles, with mostly senior-level positions open, reflecting acceleration in go-to-market hiring. The company is also hiring in India and Saudi Arabia.
Posist powers more than 20,000 restaurants globally across multiple countries and regions.
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Posist'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.