Growth Product Manager, Marketing Technology

This role sits at the intersection of product, data, and customer communication. You will own Poshmark's marketing technology stack, including our customer engagement platform (CEP), customer data platform (CDP), email, push notifications, promotional systems, and CRM strategy for our merchandising and seller teams. The work here is both strategic and deeply technical. On any given week you might be evaluating CDP architecture decisions, running send time optimization experiments, defining segmentation logic for a seller re-engagement campaign, or partnering with engineering to improve our transactional email template system. The common thread is that you own the infrastructure and the outcomes, not just the roadmap. The growth pod is lean and expects a lot from each PM. You will work directly with the Head of Growth Product and partner daily with DS/ML, engineering, marketing ops, and the merchandising team. The expectation is that you show up with a clear point of view, document your work rigorously, and hold yourself accountable to channel performance, not just feature delivery. Poshmark is also in the middle of an AI transformation that is changing how product development works. PMs on this team use AI tools actively to prototype, build, and ship, and this role is no exception.

Responsibilities

Own Poshmark's marketing technology stack, including customer engagement platform (CEP), customer data platform (CDP), email, push notifications, promotional systems, and CRM strategy for merchandising and seller teams; Define orchestration logic across channels: which message, to which user, through which channel, at what moment; Build and refine audience segmentation strategy across buyer lifecycle stages and seller engagement tiers; Lead personalization initiatives including ML-powered delivery timing program; Establish standards for building, testing, and iterating on campaigns; Own implementation strategy and long-term product roadmap for CDP, connecting Redshift data warehouse to downstream engagement tools; Define data model for customer attributes, behavioral signals, and lifecycle events flow; Partner with data engineering to ensure audience definitions are accurate, refreshable, and auditable; Own roadmap for expanding CDP usage; Own product strategy for email, push, and promotional messaging; Set standard for email and push quality and deliverability health; Run structured experiments to improve open rates, click rates, and conversion; Own product layer for promotional campaigns; Define promotional events coordination; Partner with merchandising and seller team to design CRM-driven promotional programs; Build product workflows for merchandising team to trigger targeted outreach; Partner with merchandising team to translate communication needs into platform capabilities

Requirements

4+ years in a product management or growth engineering role with direct ownership of a martech stack; Hands-on experience with a customer engagement platform (MoEngage, Braze, Iterable, Salesforce Marketing Cloud, or similar) at a product or implementation level, not just a user level; Working knowledge of how CDPs function: data ingestion, identity resolution, audience construction, and downstream activation; Comfort with the data layer: SQL fluency, understanding of event schemas, and ability to work directly with data engineers on pipeline and model design; Comfortable reading API documentation, reviewing data schemas, and holding a technical conversation with engineers and data scientists as a peer; Track record of running structured experiments across owned channels with proper methodology: experiment sizing, holdout groups, attribution, and incremental lift measurement; Understanding of the difference between correlation and causation in lifecycle data, and how to design tests that actually answer the question you are asking; Willing and able to use AI-assisted development tools (Codex, Claude Code, or equivalents) to build prototypes, draft specs, and accelerate your own output; You own channel performance, not just feature launches. If email open rates drop or push opt-outs spike, you are the first to diagnose and address the problem; You build strong working relationships with engineering, data science, and marketing ops proactively, not reactively when something breaks; You communicate decisions and tradeoffs to senior leadership with a clear point of view, not a list of options

Nice to have

Experience working with incrementality measurement frameworks is a plus; Experience at a consumer marketplace with active seller and buyer communication programs (Etsy, eBay, Whatnot, Depop, or similar); Background in email deliverability: domain reputation, list hygiene, ISP relationships, and inbox placement; Prior work on AI-driven personalization systems, recommendation-based messaging, or predictive audience models; Experience integrating a composable CDP (Hightouch, Segment, or similar) with a downstream engagement platform