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About the Role
The Product Manager II, Apply Portfolio will own one or more product features or defined workstreams within Elsevier Healthcare Education's Apply Portfolio, leading execution from discovery through delivery, launch, adoption, and continuous improvement. This role combines customer engagement, product discovery, delivery leadership, data analysis, technical collaboration, and go-to-market support, with a focus on AI-driven capabilities.
Responsibilities
- Own one or more Apply Portfolio product features or defined workstreams, including product development plans, requirements, priorities, delivery coordination, and success measures.
- Manage assigned portions of the product lifecycle, including discovery, planning, development, launch, adoption, measurement, and iteration.
- Contribute to feature-level vision and priorities, shaping and championing future product direction within the broader Apply Portfolio strategy.
- Prioritize and communicate production customer issues, defects, and enhancement requests using relevant data and customer impact to support timely resolution.
- Interact frequently with customers, faculty, students, sales, customer success, implementation teams, and internal stakeholders to understand goals, workflows, pain points, and unmet needs.
- Generate and prioritize customer requirements based on firsthand insight, product data, business objectives, and commercial viability.
- Translate customer and business needs into clear, actionable, and testable requirements, user stories, acceptance criteria, prototypes, and supporting documentation.
- Analyze product usage, customer feedback, adoption trends, operational information, and other data sources to identify insights and inform product decisions.
- Define product hypotheses and evaluate them quantitatively where appropriate through usage analysis, usability testing, experimentation, and other measurement approaches.
- Identify the analytics and reporting needed to measure feature adoption, customer value, operational performance, learner and faculty engagement, and business outcomes.
- Incorporate AI-driven capabilities into the product strategy and roadmap for owned features or workstreams, identifying where AI can meaningfully improve outcomes for learners, faculty, and the business.
- Apply AI tools and AI-assisted workflows to day-to-day product work — including data synthesis, analysis, requirements drafting, and reporting — to work more efficiently.
- Lead product demonstrations and milestone reviews for customers, internal stakeholders, and cross-functional partners.
- Support launch planning and coordinated delivery with marketing, sales, customer success, implementation, and other customer-facing teams.
- Provide product input into Train-the-Trainer sessions, customer enablement, onboarding, and market rollout activities.
- Own or contribute to product-specific content used for sales demonstrations, customer events, training, release communications, and other customer activities.
- Answer questions from sales and customers regarding feature functionality, value proposition, competitive position, and planned enhancements.
Requirements
- 3–5 years of experience in product management, business analysis, implementation, customer success, or a related role.
- Experience working with software products, SaaS platforms, data products, or technology-enabled services.
- Comfort working with technical concepts such as APIs, data structures, analytics, integrations, and software development workflows.
- Experience creating product documentation, requirements, user stories, process flows, or other artifacts that support delivery and adoption.
- Strong collaboration and communication skills, with the ability to build trusted relationships across engineering, design, sales, customer success, and external customer teams.
- Comfort operating in an environment where priorities may evolve and problems may not have clearly defined solutions.
- Experience or strong interest in building AI-driven capabilities into product strategy and requirements, along with comfort using AI tools to support day-to-day product work such as requirements drafting, data analysis, and reporting.
- Experience in healthcare, nursing education, higher education, clinical simulation, or learning technology is a plus but not required.
Skills
- Product Management
- Business Analysis
- Implementation
- Customer Success
- SaaS Platforms
- Data Products
- Technology-Enabled Services
- APIs
- Data Structures
- Analytics
- Integrations
- Software Development Workflows
- Product Documentation
- Requirements Gathering
- User Stories
- Process Flows
- Collaboration
- Communication
- AI Strategy
- AI Tools
Experience Level
- Product Manager II
Salary/Compensations
- $95,300 - $158,800
Benefits
- Eligible for an annual incentive bonus.
- Country specific benefits.
About the Company
- Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity.
- We serve the research, academic and clinical communities through the application of technology and analytics to content.
- In this way, we empower those communities to contribute to social progress, to enhance human well-being and to share and expand the breadth of human knowledge.
Equal Opportunity
- We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
- We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
- USA Job Seekers: EEO Know Your Rights.