Postscript builds an SMS-first revenue platform for Shopify brands, with a tech stack built for high-volume messaging: Go microservices, Kafka + Flink for streaming, and a modern data lakehouse (Iceberg/Hudi/Delta). The company is mid-migration from Python to Go-based microservices while simultaneously shipping AI-enhanced personalization and a message orchestration layer — indicating a move toward real-time, AI-driven customer messaging. Hiring is accelerating across engineering and product, with a senior-skewed mix suited to infrastructure and platform work.
Postscript provides an SMS platform purpose-built for ecommerce merchants on Shopify, positioning SMS as a standalone revenue channel. The product spans message orchestration, personalization powered by AI, and integrations with Salesforce, HubSpot, and Outreach. Internally, the company is modernizing its data foundation with a lakehouse architecture and rebuilding core services in Go to support the scale and latency demands of high-volume messaging workflows. Based in Scottsdale, Arizona, the team is 201–500 employees and actively hiring across engineering, product, and sales.
Go, Python, React, TypeScript, Kafka, Apache Flink, Spark, Kubernetes, PostgreSQL, Snowflake, and Shopify. Adopting Terraform; building with Iceberg, Hudi, and Delta Lake for data architecture.
Migrating Python services to Go microservices; designing a message orchestration platform; building a data lakehouse; shipping AI-enhanced personalization; and orchestrating data flows between Salesforce, HubSpot, Outreach, and Snowflake.
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