Postscript Tech Stack

SMS revenue platform for Shopify ecommerce stores

Software Development Scottsdale, Arizona 201–500 employees Privately Held

Postscript operates an SMS marketing and revenue platform purpose-built for Shopify stores. The tech stack reveals a maturing data infrastructure: Kafka, Flink, Spark, and lakehouse tooling (Iceberg, Hudi, Delta Lake) point to high-volume messaging and real-time customer profile work, while active adoption of Go and infrastructure-as-code (Terraform, EKS) signals a shift from monolithic Python toward distributed microservices. Pain points around scalability, decoupling, and customer identity resolution map directly to these infrastructure bets.

Tech Stack 33 technologies

Core StackPython AWS Go Kafka PostgreSQL MongoDB Terraform Shopify TypeScript Java Kubernetes Cursor React Apache Flink Apache Spark Salesforce Datadog Apache Iceberg Delta Lake Scala Kotlin Zapier n8n Retool HubSpot AWS ECS AWS EKS Hudi Replit Outreach+3 more

AdoptingTerraform Go AWS EKS

What Postscript Is Building

◆Challenges

Reliability throughput cost efficiency
Scalability and complexity demands
High-volume messaging scalability
Customer adoption of new features
Decoupling monolithic dependencies
Unifying merchant customer data
Real-time profile unification
Migrating python codebase to go microservices
Customer identity resolution
Maximizing roi

▲Active Projects

Campaign send engine
Messaging platform
Cdp strategy
Fondue cashback discounting incentives product
Flow builder
Ai product development
Real-time profile unification
Brand-new ai product
Migrating python codebase to go microservices
Offers and incentives infrastructure

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering

Product

Support

Seniority

Senior

Staff

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About Postscript

Postscript builds an SMS revenue platform for ecommerce brands, with native integration into the Shopify ecosystem. The product spans campaign execution, messaging orchestration (flow builder), customer data unification, and offers/incentives infrastructure. The company operates at scale: active projects include a campaign send engine, real-time profile unification, and a CDP strategy, while documented pain points center on handling high-volume throughput, cost efficiency, and merchant adoption. Headquartered in Scottsdale, Arizona, Postscript operates with a 201–500-person team focused on engineering and product development.

HeadquartersScottsdale, Arizona

Company Size201–500 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Postscript use?

Postscript runs on Python, Go, Java, and TypeScript across AWS infrastructure (ECS, EKS). Data flows through Kafka, with processing via Flink and Spark, and storage on PostgreSQL, MongoDB, and lakehouse formats (Iceberg, Hudi, Delta Lake). Shopify integration is core; supplementary tools include Salesforce, Datadog, and workflow automation (Zapier, n8n, Retool).

What is Postscript working on?

Active projects include a campaign send engine, messaging platform, CDP strategy, real-time profile unification, flow builder, and AI product development. Infrastructure work focuses on migrating the Python codebase to Go microservices and building offers/incentives infrastructure—addressing documented challenges around scalability and decoupling monolithic dependencies.

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How this profile is built

Postscript'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.