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Product Manager (Membership, AI)

105 000 - 110 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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 (Membership, AI): Leading membership, audience development, and identity products for physician portals and mobile apps with an accent on analytics, AI-powered personalization, and authentication. Focus on architecting agentic workflows, defining ML/AI product requirements, and improving activation, retention, identity resolution, and member verification.

Location: Hybrid in Newark, New Jersey, United States

Salary: $105,000–$110,000 per year, plus eligibility for a discretionary company bonus.

Company

hirify.global's Medscape division develops physician portals and mobile applications that provide clinical information, continuing medical education, treatment resources, and professional communication tools.

What you will do

  • Lead the strategy and roadmap for membership, registration, login, identity, profile enrichment, and retention products.
  • Drive initiatives that grow active users, increase session frequency, reduce anonymous access, and improve member activation and lifetime value.
  • Define product requirements, user stories, wireframes, prototypes, acceptance criteria, and agile product ownership practices.
  • Partner with Editorial, Marketing, Sales, Engineering, Design, QA, and BI to deliver web and mobile experiences.
  • Use analytics, cohort analysis, funnel analysis, retention analysis, dashboards, and KPIs to guide product decisions.
  • Apply AI and machine learning to personalization, identity resolution, content recommendations, fraud detection, verification, and agentic workflow automation.

Requirements

  • Bachelor's degree in Business, Engineering, Computer Science, or a related field, or equivalent experience.
  • Product management experience with consumer or professional digital products across web and mobile.
  • Strong data analysis skills, including SQL, experimentation frameworks, BI tools, and interpretation of large datasets.
  • Experience building or managing AI and agentic systems such as LLMs, LangGraph, LangChain, RAG pipelines, or MCP-based architectures.
  • Experience defining ML/AI product requirements, including inputs, outputs, evaluation metrics, operational considerations, data contracts, and guardrails.
  • Strong communication skills and the ability to collaborate with business, technical, data science, and design stakeholders.

Nice to have

  • Experience in healthcare, pharmaceutical marketing, medical information, or agency environments.
  • Experience with customer data platforms, identity resolution platforms, and marketing automation.
  • Experience with ad-driven and commercial web experiences.
  • Experience with global products and professional credential validation, such as physician verification.

Culture & Benefits

  • Hybrid work environment.
  • Medical, dental, and vision insurance.
  • Paid vacation, sick leave, and flexible holidays.
  • 401(k) retirement plan with employer matching.
  • Life and disability insurance, employee assistance program, and commuter or transit benefits where applicable.

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