Poshmark, Inc. logo

Growth Product Manager, Marketing Technology

Job Overview

Location

US California (Redwood City) - Office

Job Type

Full-time

Category

Data Science

Date Posted

June 4, 2026

Full Job Description

đź“‹ Description

  • • Own the end-to-end product strategy for Poshmark’s marketing technology stack, including Customer Engagement Platform (CEP), Customer Data Platform (CDP), email, push notifications, promotional systems, and CRM tools used by merchandising and seller teams.
  • • Define orchestration logic across channels—determining which message, to which user, through which channel, and at what moment—to optimize buyer and seller engagement across push, email, in-app, and SMS.
  • • Build and refine audience segmentation strategies based on buyer lifecycle stages and seller engagement tiers, ensuring targeted and timely communication at scale.
  • • Lead ML-powered personalization initiatives, including delivery timing optimization, by collaborating with data science teams on model inputs, evaluation metrics, and rollout plans.
  • • Establish consistent standards for campaign building, testing, and iteration within the CEP to ensure quality and compound learning across marketing initiatives.
  • • Own the CDP product roadmap, defining how customer attributes, behavioral signals, and lifecycle events flow from Redshift data warehouse into engagement systems to enable scalable audience activation.
  • • Partner with data engineering to ensure audience definitions are accurate, refreshable, auditable, and aligned with business objectives across email, push, and paid channels.
  • • Set quality and deliverability standards for email and push communications, partnering with engineering and marketing ops to monitor performance and rapidly resolve issues.
  • • Design and run structured experiments to improve open rates, click-through rates, and downstream conversion from push and email touchpoints using proper methodology including holdout groups and incrementality measurement.
  • • Own the product layer for promotional campaigns, including discount mechanics, offer construction, audience targeting, and performance measurement, ensuring alignment with broader lifecycle programs.
  • • Eliminate redundant messaging by coordinating promotional events with lifecycle communication strategies across channels.
  • • Build product workflows that empower merchandising teams to trigger targeted, interest-based outreach at scale without engineering dependency, shifting from batch sends to user-centric engagement.
  • • Partner directly with merchandising and seller teams to translate their communication needs into durable platform capabilities that drive shopper retention and seller growth.
  • • Actively use AI-assisted development tools (e.g., Codex, Claude Code) to prototype features, draft product specs, and accelerate delivery of marketing technology solutions.
  • • Own channel performance outcomes—not just feature delivery—taking immediate ownership when email open rates drop or push opt-outs spike.
  • • Maintain strong, proactive relationships with engineering, data science, and marketing operations teams, communicating tradeoffs and decisions to senior leadership with clarity and conviction.
  • • Document work rigorously and hold yourself accountable to measurable business outcomes tied to marketing channel performance.

🎯 Requirements

  • • 4+ years in product management or growth engineering with direct ownership of a martech stack
  • • Hands-on experience with a customer engagement platform (e.g., MoEngage, Braze, Iterable, Salesforce Marketing Cloud) at an implementation or product level
  • • Working knowledge of CDPs: data ingestion, identity resolution, audience construction, and downstream activation
  • • SQL fluency and ability to work directly with data engineers on event schemas and pipeline design
  • • Track record of running structured experiments across owned channels with proper methodology (holdout groups, attribution, incrementality)
  • • Comfort reading API documentation, reviewing data schemas, and engaging in technical conversations with engineers and data scientists as a peer

🏖️ Benefits

  • • Opportunity to work at the intersection of product, data, and customer communication on a leading fashion marketplace with 165M members
  • • Direct impact on AI transformation initiatives, using AI tools to prototype, build, and ship marketing technology solutions
  • • Collaborative environment with cross-functional teams including data science, engineering, marketing ops, and merchandising
  • • Ownership of high-reach, high-impact channels including email, push, and promotional systems that drive buyer and seller engagement

Skills & Technologies

Product Management
Onsite

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Poshmark, Inc. logo
Poshmark, Inc.
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About Poshmark, Inc.

Poshmark operates a social commerce marketplace where users buy and sell new and secondhand fashion, accessories, beauty, and home goods. Founded in 2011 and headquartered in Redwood City, California, the platform combines mobile listings, peer-to-peer shipping, and community features such as virtual Posh Parties. Sellers photograph items with their phones, set prices, and ship directly to buyers using prepaid labels. The company earns revenue through transaction fees and optional seller services, while offering authentication for luxury items. Poshmark expanded into Canada in 2019 and Australia in 2020, and was acquired by Naver in January 2023.

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