Staff Product Manager, Marketing Technology

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.

What You Will Own

Customer Engagement Platform (CEP) and Channel Orchestration

The CEP is the system of record for how we reach our buyers and sellers across push, email,

in-app, and SMS. You will own the product strategy for how to scale and use it.

Define the 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

Customer Data Platform (CDP) and Data Infrastructure

You will own the implementation strategy and long-term product roadmap, connecting our

Redshift data warehouse to downstream engagement tools to improve how we build audiences

and activate data at scale.

● Define the data model for how customer attributes, behavioral signals, and lifecycle

events flow from our data warehouse into our engagement systems

● 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

Targeted Lifecycle Messaging

Email, push, and promotional messaging are your highest-reach owned channels. You will own

the product strategy across all three, setting standards for message quality, channel

coordination, experimentation, and performance.

Set the standard for email and push quality and deliverability health, partnering with engineering and marketing ops to monitor performance and resolve issues quickly

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 our broader lifecycle programs so messaging is coordinated, not redundant

Partner with merchandising and the seller team to design CRM-driven promotional programs that serve both sides of the marketplace

CRM for Merchandising

Poshmark's merchandising team manages both shopper and seller relationships, category

health, and supply-side growth. You will own the product that gives the merchandising team genuine visibility into their shopper and seller base and the ability to activate them through

personalized communication at scale.

Build the product workflows that allow the merchandising team to trigger targeted, interest-based outreach at scale without requiring engineering every time, shifting the communication model from program-driven batch sends toward user-centric engagement

Partner with the merchandising team to understand their shopper and seller communication needs and translate those into durable platform capabilities

What We Are Looking For

Martech Platform Expertise

7+ years in a product management or growth engineering role with direct ownership of a marketing technology 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 an end user

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

Experimentation and Measurement

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

Execution

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)

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