Postscript is a company that empowers ecommerce brands with SMS marketing tools, aiming to make SMS the top revenue channel for merchants. They are seeking a Senior Product Manager to lead the development of a new AI product, focusing on customer data platform capabilities to enhance personalized messaging experiences. The role involves overseeing the product lifecycle, defining strategy and vision, and collaborating with cross-functional teams to drive product success.
Responsibilities:
- 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
Requirements:
- 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 personalization and predictive ML models
- Direct experience taking a product from zero-to-one; you've made foundational technical and architectural decisions, not just roadmap ones
- Deep technical fluency with AI/ML: you can discuss model architectures, prompt engineering, fine-tuning, evaluation metrics, and data pipelines as a peer — not just a stakeholder
- You write SQL, read Python, and can instrument your own analytics — you don't wait for a data analyst to answer your product questions
- Understanding of data privacy, consent, and compliance (TCPA, GDPR, CCPA) as they apply to CDP data collection, storage, and activation at scale
- Strong product intuition for when AI adds real value vs. when it doesn't — you are not an AI hype person, you are an AI pragmatist
- Demonstrated ability to ship fast, learn from data, and iterate — you prefer a working v1 over a perfect PRD
- Excellent written and verbal communication; you can translate complex technical concepts for merchants, CSMs, and executives without losing precision
- You have built something with AI tools — a prototype, a script, an internal tool. You don't just spec; you ship. Bonus if you can show us
- Experience in ecommerce SaaS, martech, or messaging platforms is highly preferred