12 часов назад
Product Manager (Martech)
109 000 - 170 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Product Manager (Martech) (Customer Engagement and Data Platforms): Owning Poshmark’s marketing technology stack, including customer engagement, customer data, email, push, promotional, and CRM systems, with an accent on channel orchestration, audience segmentation, experimentation, and data activation. Focus on designing CDP infrastructure, improving lifecycle messaging performance, integrating ML-powered personalization, and building technical workflows for merchandising and seller teams.
Location: Hybrid office role in Redwood City, California, United States
Salary: $109,000–$170,000 base salary per year, excluding equity, performance incentives, and benefits.
Company
is a fashion marketplace that connects buyers and sellers through social discovery, enabling sellers to grow businesses and keeping fashion in circulation.
What you will do
- Own the product strategy and outcomes for the customer engagement platform across email, push, in-app, and SMS.
- Define audience segmentation, channel orchestration, personalization, and lifecycle messaging standards.
- Lead the customer data platform roadmap, connecting the Redshift warehouse with downstream engagement and paid activation tools.
- Partner with data engineering on customer data models, event schemas, audience accuracy, refreshability, and auditability.
- Run structured experiments and improve deliverability, engagement, conversion, and incremental lift.
- Build CRM workflows that help merchandising and seller teams activate personalized communication without engineering support for every campaign.
Requirements
- 4+ years of experience in product management or growth engineering with direct ownership of a martech stack.
- Hands-on product or implementation experience with a customer engagement platform such as MoEngage, Braze, Iterable, or Salesforce Marketing Cloud.
- Working knowledge of CDP data ingestion, identity resolution, audience construction, and downstream activation.
- SQL fluency, understanding of event schemas, and the ability to work directly with data engineers and data scientists.
- Experience designing structured experiments using sizing, holdout groups, attribution, and incremental lift measurement.
- Ability to read API documentation, review data schemas, use AI-assisted development tools, and communicate technical decisions to senior leadership.
Nice to have
- Experience with incrementality measurement frameworks.
- Background in a consumer marketplace with buyer and seller communication programs.
- Experience with email deliverability, including domain reputation, list hygiene, ISP relationships, and inbox placement.
- Experience with AI-driven personalization, recommendation-based messaging, predictive audiences, or composable CDPs such as Hightouch or Segment.
Culture & Benefits
- Work in a lean growth product pod with direct collaboration across product, engineering, data science, marketing operations, merchandising, and seller teams.
- Take ownership of channel performance and diagnose issues such as declining email open rates or rising push opt-outs.
- Use AI tools to prototype, build, draft specifications, and accelerate product development.
- Base compensation may be supplemented by equity, performance-based incentives, and a comprehensive benefits package.
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