Growth Product Manager, Marketing Technology

Poshmark•Redwood City, CA

1d•$109,000 - $170,000

About The Position

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.

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.
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 technical conversations with engineers and data scientists.
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 answer specific questions.
Willing and able to use AI-assisted development tools (Codex, Claude Code, or equivalents) to build prototypes, draft specs, and accelerate output.
Accountability for channel performance, not just feature launches; ability to diagnose and address issues like drops in email open rates or spikes in push opt-outs.
Proactive relationship building with engineering, data science, and marketing ops.
Ability to communicate decisions and tradeoffs to senior leadership with a clear point of view.

Nice To Haves

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.
Experience working with incrementality measurement frameworks.

Responsibilities

Own the product strategy for the Customer Engagement Platform (CEP) and channel orchestration, including scaling and usage.
Define orchestration logic across channels: determining the right message, user, channel, and timing.
Build and refine audience segmentation strategy for buyer lifecycle stages and seller engagement tiers.
Lead personalization initiatives, including ML-powered delivery timing, collaborating with data science on model inputs, evaluation, and rollout.
Establish standards for campaign building, testing, and iteration within the platform to ensure consistent quality and compounding learnings.
Own the implementation strategy and long-term product roadmap for the Customer Data Platform (CDP) and data infrastructure, connecting the Redshift data warehouse to downstream engagement tools.
Define the data model for customer attributes, behavioral signals, and lifecycle events flowing into engagement systems.
Partner with data engineering to ensure accuracy, refreshability, and auditability of audience definitions.
Own the roadmap for expanding CDP usage and new activation use cases across email, push, and paid channels.
Own the product strategy for email, push, and promotional messaging, setting standards for message quality, channel coordination, experimentation, and performance.
Set standards for email and push quality and deliverability health, monitoring performance and resolving issues with engineering and marketing ops.
Run structured experiments to improve open rates, click rates, and downstream conversion from push touch points.
Own the product layer for promotional campaigns, including discount mechanics, offer construction, audience targeting, and measurement.
Define how promotional events interact with broader lifecycle programs for coordinated messaging.
Partner with merchandising and the seller team to design CRM-driven promotional programs.
Build product workflows for the merchandising team to trigger targeted, interest-based outreach at scale without engineering intervention.
Partner with the merchandising team to understand their communication needs and translate them into platform capabilities.