Home › Companies › Poshmark › Product Manager, Shopper Experience
Product Manager, Shopper Experience
Poshmark · US California (Redwood City) - Office · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Poshmark |
| Title | Product Manager, Shopper Experience |
| Normalized title | - |
| Department / team | All Departments / All Departments, Research & Development, Product, Product Management Team |
| Location | United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-06-12 |
| Changed / last seen | 2026-06-13 / 2026-06-18 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Poshmark. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in All Departments. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Poshmark |
| Source | f4054c1c-f7a6-4594-9d9b-248e73250b95 |
| ATS provider | Ashby |
Description
About Poshmark
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
Own how Poshmark shows up in users' inboxes, notification trays, and feeds. This role is responsible for the channel strategy and surface execution across email, push notifications, promotional placements, and CRM touchpoints
You'll partner closely with engineering to translate platform capabilities into channel experiences that drive retention, conversion, and engagement across Poshmark's buyer, seller, and merchandising audiences. 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 the end-to-end strategy and roadmap for Poshmark's lifecycle channels including email, push notifications, promotional placements, and CRM surfaces across buyer, seller, and merchandising audiences
Translate martech platform capabilities into channel-level features and experiments
Define and optimize the message surfaces across Poshmark's properties, ensuring channel experiences are coherent, personalized, and conversion-driven
Work with data and analytics to build segmentation strategies, measure channel performance, and identify growth opportunities across the funnel
Define and maintain channel health metrics, establishing baselines and owning improvement against them
Own the product layer for promotional campaigns including discount mechanics, offer construction, audience targeting, and measurement
Partner with merchandising and the seller team to design CRM-driven promotional programs that serve both sides of the marketplace
Required Qualifications
4+ years in a product management or growth role
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
Experience integrating a composable CDP (Hightouch, Segment, or similar) with a downstream engagement platform
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
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
Full job record
| Job ID | ce18f297308483ab89f5d8a50eeafcde05a936e8 |
| Org ID | 0467ecc2-6f31-4112-94fc-b5238d736e4a |
| Source ID | f4054c1c-f7a6-4594-9d9b-248e73250b95 |
| Board ID | f4054c1c-f7a6-4594-9d9b-248e73250b95 |
| Provider | ashby |
| Provider Job Key | 5cd2854e-c1aa-4d3c-a2df-8e68902bd61e |
| Title | Product Manager, Shopper Experience |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | US California (Redwood City) - Office |
| Department | All Departments |
| Team | All Departments, Research & Development, Product, Product Management Team |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/poshmark/5cd2854e-c1aa-4d3c-a2df-8e68902bd61e |
| Apply URL | https://jobs.ashbyhq.com/poshmark/5cd2854e-c1aa-4d3c-a2df-8e68902bd61e/application |
| First Seen At | 2026-06-12 09:35:48Z |
| Last Seen At | 2026-06-18 10:29:57Z |
| Last Checked At | 2026-06-18 10:29:57Z |
| Last Changed At | 2026-06-13 10:11:17Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=poshmark/date=2026-06-18/2026-06-18T10-29-36-158Z-5194a3fb730ca479c9162fc399ef39d540966ae6e455698726184844a9b53350.json |
Event Fields
{
"content_hash": "5f794f079505cb2590d12e82b0c8518bb05849255079f63761e0fce96e540529",
"source_hash": "3c3cd263abfb5ff87c74a32466ab84f393e8ca0b5d2e3c78c45823363274c8a1",
"last_changed_at": "2026-06-13T10:11:17.605Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "US California (Redwood City) - Office",
"city": null,
"region": null,
"country": "United States",
"is_remote": false,
"confidence": 0.95
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-18T10:29:57.637Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "US California (Redwood City) - Office",
"city": null,
"region": null,
"country": "United States",
"is_remote": false,
"confidence": 0.95
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": null,
"workplace_type": null,
"salary_currency": null
}Extensions
{}Native Structured
{
"id": "5cd2854e-c1aa-4d3c-a2df-8e68902bd61e",
"team": "All Departments, Research & Development, Product, Product Management Team",
"title": "Product Manager, Shopper Experience",
"jobUrl": "https://jobs.ashbyhq.com/poshmark/5cd2854e-c1aa-4d3c-a2df-8e68902bd61e",
"address": null,
"applyUrl": "https://jobs.ashbyhq.com/poshmark/5cd2854e-c1aa-4d3c-a2df-8e68902bd61e/application",
"isListed": true,
"isRemote": false,
"location": "US California (Redwood City) - Office",
"updatedAt": null,
"apiVersion": "ashby-non-user-graphql-v1",
"department": "All Departments",
"publishedAt": null,
"workplaceType": null,
"employmentType": "FullTime",
"secondaryLocations": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/ce18f297308483ab89f5d8a50eeafcde05a936e8?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/0467ecc2-6f31-4112-94fc-b5238d736e4aJSONGET https://api.bluedoor.sh/job-postings/v1/sources/f4054c1c-f7a6-4594-9d9b-248e73250b95JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/ce18f297308483ab89f5d8a50eeafcde05a936e8/eventsJSON