Postscript has expanded beyond text messaging for the first time, introducing an email product built on what it calls the Agentic Context Platform (ACP). Announced via PRWeb, the update shifts the company from an SMS-only utility into a unified retention marketing platform for e-commerce merchants.
The platform centralizes three data streams: customer context (such as past purchases, onsite behavior, and two-way conversations), brand context (voice guidelines, product catalogs, and promotional rules), and live test performance. Rather than requiring marketers to build static demographic segments, the underlying model routes context directly to an execution layer named Shopper, an AI agent that decides what message to send to each subscriber.
"Every platform on the market stores context and hands you a segment builder. But customers tell you what they want—plainly, in their own words—and almost no system does anything with it," said Postscript co-founder and CEO Adam Turner. "The ACP does something with it. A brand shouldn't have to approximate a one-to-one relationship with a segment of twelve thousand people."
Moving from Manual Broadcasts to Conversational AI
Postscript was founded in 2018 by Adam Turner, his brother Colin Turner, and Alex Beller. Adam Turner and Beller had worked together at StackCommerce, where Turner managed data products and Beller led business development. The idea originated when a friend running a Shopify store agreed to pay $50 a month for an automated tool to text his most engaged shoppers.
After graduating from Y Combinator's W19 batch, Postscript scaled within the Shopify ecosystem, raising a $35 million Series B led by Greylock in 2021 and a $65 million Series C led by 01 Advisors in 2022. While early growth was driven by transactional SMS and scheduled broadcast campaigns, the team shifted its product direction after observing conversion patterns across merchant lists.
As Adam Turner explained in an interview with Greylock Partners, only a quarter of consumers who opted into merchant text messages were buying. Postscript initially deployed a team of human sales associates to chat with shoppers over SMS. The experiment lifted conversion rates to 60%, showing that customer hesitation often stemmed from routine product questions that traditional email blasts and web pages failed to answer. Postscript then translated those conversations into training data for autonomous agents.
Today, Postscript pairs its messaging infrastructure with several generative AI products: Brand Center, Infinity Testing, and Shopper. In an interview on the TwoSetAI channel, Beller detailed how Brand Center ingests merchant websites, product catalogs, and brand guidelines to create a persona that prevents models from hallucinating or generating aggressive promotions. Infinity Testing replaces standard A/B split tests with multi-armed bandit algorithms that generate hundreds of copy variants and optimize delivery in real time, generating an average 20% revenue lift for merchants.
Engineering Architecture and Context Pipelines
Postscript's legacy core runs on a Python (Flask) API backed by PostgreSQL on AWS, with frontends built in React and Bootstrap. However, the introduction of conversational agents and high-throughput test pipelines has reshaped its backend requirements.
On a podcast appearance on Ecomm Cowboy, Adam Turner stressed that merchant-owned conversational data requires entirely different data structures than standard profile attributes: "Memories about people are temporal. They like have time decay. And so, if someone said they're going on vacation this summer, why would you bring that up in a year from now?" To handle this temporal memory layer and real-time inference, the company is building out agentic pipelines across Go, Rust, Python, and TypeScript.
Handling operational friction in e-commerce has also driven internal tooling decisions. Because merchant catalogs frequently contain contradictory stock records between product detail pages and Shopify metadata, Postscript employs supervisory agents that cross-reference shopping carts and catalog states before an outbound message or conversational reply is transmitted.
Growth, Tariff Pressures, and Hiring
Postscript employs approximately 180 people in a remote-first setup across North America. The company has navigated volatile e-commerce conditions over the past several years. After an e-commerce recalibration prompted a 19% workforce reduction in mid-2022, reported by Business Insider, the leadership focused on sustainable unit economics. In May 2025, Business Insider reported that Postscript absorbed $2.5 million in costs—permanently lowering self-service software rates and offering free AI tooling—to help Shopify merchants manage supply chain tariff increases.
To support its new platform layer and GTM expansion, Postscript has three open remote positions across marketing and engineering:
- The Head of Growth ($207,000–$287,000) leads discovery, evaluation, and merchant re-engagement across paid channels, web properties, SMS, community, and email distribution. The role operates growth as an experimentation engine, shipping interactive experiences and AI-powered merchant tools.
- The Senior Fullstack Engineer, Customer Context ($175,000–$220,000) builds foundational services, APIs, and pipelines for the Customer Context team. This position develops agentically by default, writing across Python, Go, Rust, React, and TypeScript to maximize merchant targeting.
- The Senior Software Engineer, Full Stack ($175,000–$220,000) works as an end-to-end contributor on core product and platform systems, working in Python, Go, React, and TypeScript at the intersection of scale and product velocity.
Open Positions at Postscript
| Role | Location | Work Mode | Salary |
|---|---|---|---|
| Head of Growth | Remote (US) | Remote | $207,000 – $287,000 |
| Senior Fullstack Engineer, Customer Context | Remote (US) | Remote | $175,000 – $220,000 |
| Senior Software Engineer, Full Stack | Remote (US; CA) | Remote | $175,000 – $220,000 |
