Senior Product Manager, AI

Trusted by more than 18,000 Shopify and Shopify Plus stores—like Brooklinen, Ruggable, True Classic and Dr. Squatch—Postscript gives ecommerce brands the tools they need to run a world-class SMS marketing program. We’re on a mission to make SMS the number-one revenue channel for ecommerce merchants by delivering an easy-to-use platform where they can grow their subscriber list, develop and test their messaging strategy, deliver excellent customer service, and drive sales and loyalty—all in one place. We believe SMS is the most important marketing and sales channel of the decade, and that vision drives everything we do. Postscript was founded in 2018 as a 100% remote organization. With more than 250 employees (and counting!), we’re backed by Greylock, Y Combinator, and other top investors. We are building a brand-new AI product and are looking for a technical Senior Product Manager to lead it from concept to market. This is a greenfield opportunity: you will define what the product is, who it serves, and how it works. A core part of this vision is leveraging Customer Data Platform (CDP) capabilities to unify merchant customer data and power intelligent, personalized messaging experiences at scale. You will partner closely with machine learning engineers, prompt engineers, product designers, and product engineers — and you'll be expected to go deep technically, not just facilitate. You can read code, write SQL, interrogate data pipelines, and stress-test ML model outputs firsthand. All positions at Postscript are fully remote. Primary Duties Own the end-to-end product lifecycle for a new AI product, from discovery through launch and iteration Define product vision, strategy, and roadmap grounded in deep customer understanding, AI/ML feasibility, and ecommerce CDP architecture Architect and drive CDP strategy — including customer identity resolution, behavioral event ingestion, real-time profile unification, audience segmentation, and downstream activation — with enough technical depth to make meaningful build vs. buy decisions Define the data contracts and schema design governing how first- and zero-party data flows from Shopify storefronts into unified customer profiles, and how those profiles are consumed by AI models and automation systems Partner directly with MLE and prompt engineering to evaluate model capabilities, define evaluation harnesses, set guardrails, and co-design human-in-the-loop experiences — not just review specs, but participate in technical design reviews Partner with Engineering to design segmentation and activation frameworks that enable merchants to reach the right customer with the right message at the right moment, powered by real-time CDP data signals Design and run rapid experiments to validate hypotheses; define success metrics, instrument tracking, and analyze results yourself where possible Write rigorous product specs, success criteria, and evaluation frameworks for AI features — covering accuracy, latency, safety, and user trust Collaborate cross-functionally with engineering, design, CSMs, and leadership to ship and iterate Develop and maintain a deep competitive understanding of the AI and CDP landscape in ecommerce/SMS Serve as the internal and external evangelist for the AI product vision What We'll Love About You 5+ years of product management experience, with 2+ years owning AI/ML-powered products in a hands-on technical capacity Strong technical foundation — you have an engineering, data science, or comparable background; you're comfortable in code reviews, data model discussions, and system design conversations Direct, hands-on experience with CDP architecture — you understand event streaming, identity graphs, audience segmentation pipelines, and real-time data activation, and can evaluate tradeoffs in how they're built Fluency with ecommerce data models : purchase history, browse behavior, LTV, churn signals, RFM segmentation, and how these signals feed p ... (truncated, view full listing at source)