Product Manager II — AI-Driven EdTech for Healthcare Learning

Elsevier

Philadelphia (Philadelphia County)

On-site

USD 95,000 - 159,000

Full time

14 days+

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Job summary

Elsevier, a global information analytics company, seeks a Product Manager II to own one or more features within the Apply Portfolio and drive end-to-end delivery from discovery through adoption and iteration. You will collaborate with engineering, design, clinical experts, and analytics teams to deliver AI-enabled, data-informed solutions for healthcare education.

The role emphasizes customer engagement, requirement drafting, and go-to-market support, with a strong focus on using data insights

Qualifications

  • 3–5 years of experience in product management, business analysis, implementation, or related roles.
  • Experience with software/SaaS products, data products, or tech-enabled services.
  • Comfort with APIs, data structures, analytics and development workflows.
  • Experience creating product docs, requirements, user stories and process flows.
  • Strong collaboration and communication across engineering, design, sales, customer success.

Responsibilities

  • Own one or more product features or workstreams from discovery to delivery and adoption.
  • Lead discovery, planning, development, launch and iteration to optimize value.
  • Define vision and priorities within the Apply Portfolio strategy.
  • Translate customer needs into clear, actionable requirements and acceptance criteria.
  • Drive data, analytics and AI strategy to inform product decisions.
  • Support go-to-market activities and customer demonstrations.

Skills

Product management
Data analytics
Stakeholder management
Requirement gathering
AI literacy

Job description

Elsevier, a global information analytics company, seeks a Product Manager II to own one or more features within the Apply Portfolio and drive end-to-end delivery from discovery through adoption and iteration. You will collaborate with engineering, design, clinical experts, and analytics teams to deliver AI-enabled, data-informed solutions for healthcare education.

The role emphasizes customer engagement, requirement drafting, and go-to-market support, with a strong focus on using data insights

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