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4 дня назад

Product Manager 2 - Insights Delivery: Merchandising (Hybrid - Seattle)

121 500 - 188 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager 2 - Insights Delivery: Merchandising (Data Platforms/AI): Building and evolving the merchandising data and reporting platform across migrations, new data onboarding, and business intelligence support with an accent on roadmap prioritization, data reliability, and stakeholder alignment. Focus on writing data-platform requirements, measuring AI-driven insights, integrating machine learning models, and improving data accessibility and quality.

Location: Hybrid role based in Seattle, Washington, United States

Salary: $121,500–$188,500 annual, with potential performance-based incentives or bonuses.

Company

hirify.global is a retail company operating a product management organization focused on customer and business products, including data and AI platforms.

What you will do

  • Own the Insights Delivery Merchandising roadmap across platform migrations, new data onboarding, and business intelligence support.
  • Build relationships across business, engineering, UX, data science, and merchandising leadership to align product vision and delivery.
  • Break roadmaps into releasable features, prioritize backlogs, and write user stories and acceptance criteria for data-platform capabilities.
  • Conduct customer research and market analysis to identify opportunities in data democratization, AI-powered innovation, and big data.
  • Develop measurement plans, testing strategies, and telemetry to evaluate AI-driven insights, automation, and feature impact.
  • Coordinate delivery across squads while balancing customer value, technical complexity, resources, and timelines.

Requirements

  • 2+ years of experience in product management, technology, or a related field.
  • Experience prioritizing features, managing product backlogs, writing user stories with acceptance criteria, and coordinating cross-functional delivery.
  • Strong understanding of data engineering concepts, including data warehousing, data management, and data analysis.
  • Proficiency in SQL and analytical thinking, with exposure to machine learning concepts and applications.
  • Familiarity with cloud data platforms such as GCP, BigQuery, Looker, Dataplex, Dataproc, Pub/Sub, Databricks, AWS data services, or Microsoft Fabric.
  • Bachelor’s degree in engineering, information technology, computer science, data science, or equivalent experience, plus strong written and verbal communication skills.

Culture & Benefits

  • Collaborative work across business, technology, UX, data science, and merchandising functions.
  • Medical, vision, dental, retirement, and paid time-away benefits.
  • Life insurance, disability insurance, PTO accruals, and holidays.
  • 401(k), merchandise discounts, and employee assistance resources.

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