Growth Product Manager, Marketing Technology

Poshmark

Growth Product Manager for Poshmark's marketing technology stack, focusing on customer engagement and data platform strategy. Collaborating across teams to optimize marketing efforts with personalized communication.

Posted 6/4/2026full-timeRedwood City • California • 🇺🇸 United StatesMid-LevelSenior💰 $109,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

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 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 our ML-powered delivery timing program, working closely with data science on model inputs, evaluation, and rollout
Establish standards for how the team builds, tests, and iterates on campaigns within the platform so quality is consistent and learnings compound
Own the implementation strategy and long-term product roadmap for the CDP, connecting our data warehouse to downstream engagement tools
Partner with data engineering to ensure audience definitions are accurate, refreshable, and auditable
Own the roadmap for how we expand CDP usage over time, including new activation use cases across email, push, and paid channels
Set the standard for email and push quality and deliverability health
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 so messaging is coordinated
Partner with merchandising and the seller team to design CRM-driven promotional programs that serve both sides of the marketplace
Build the product workflows that allow the merchandising team to trigger targeted, interest-based outreach at scale

Requirements

What you’ll need

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

Benefits

Comp & perks

Comprehensive benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

customer engagement platformcustomer data platformSQLAPI documentationexperiment methodologyincrementality measurementAI-assisted development toolsaudience segmentationpersonalization systemspromotional campaign management

Soft Skills

communicationrelationship buildingproblem diagnosisleadershipcollaborationstrategic thinkinganalytical thinkingproactive approachdecision makingadaptability