Product Manager II

Join Elsevier in Philadelphia, PA (onsite) and help shape product capabilities that connect customer needs to measurable outcomes. In this Product Manager II role, you will own one or more product features, lead project execution, and work within a cross-functional team to define priorities, validate hypotheses with data, and communicate progress at key milestones. The position includes an annual incentive bonus eligibility and may include country-specific benefits, with geographic differentials in some locations to reflect local market rates. The U.S. national base pay range is $95,300 - $158,800 per year.

What you’ll do

• Own one or more product features and lead execution of projects from planning through delivery.
• Develop product development plans, including opportunity assessment and a business case.
• Gather and translate customer requirements by engaging frequently with customers and anticipating needs that impact satisfaction.
• Prioritize issues and defects using relevant data, ensuring timely resolution and strong customer experience.
• Analyze market signals, including competitive announcements and events, to anticipate short-term market changes and implications for the product.
• Collect data from multiple sources (customer insights, market analysis, sales and revenue, and more) to address business problems.
• Make trade-off decisions between potential product capabilities based on strategic priorities.
• Evaluate product hypotheses using quantitative methods, including A/B testing for interactive products.
• Manage day-to-day product issues independently and generate new ideas by analyzing product data for insights.
• Support go-to-market by communicating customer requirements and timelines to stakeholders.
• Assist with launch planning through coordinated development with external customer-facing teams such as marketing and sales.
• Represent the product in customer and sales conversations, answering questions on feature function, pricing, packaging, value proposition, and competition.
• Provide Train-the-Trainer sessions and support operations for market rollout, and assist with collateral for sales demonstrations and customer events.
• Outline key milestones, outcomes, and deliverables during go-to-market and product strategy planning.
• Develop prototypes and participate in product discovery for new product development, following the defined process.
• Manage portions of the product lifecycle and consider high-level technical approaches when prioritizing functionality.
• Use competitive analysis independently to drive product direction and strategic vision for a feature area, including budgeting operating costs required to deliver revenues.
• Work with SDLCs as identified by management (including agile processes).

What you bring

• 4–6 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 and delivery artifacts such as requirements, user stories, and process flows (or similar materials).
• Strong collaboration and communication skills, with the ability to build trusted relationships across engineering, design, sales, customer success, and external customer teams.
• Ability to operate when priorities evolve and solutions are not fully defined.
• Interest or experience in building AI-driven capabilities into product strategy and requirements, with comfort using AI tools to support day-to-day tasks like requirements drafting, data analysis, and reporting.
• Healthcare, nursing education, higher education, clinical simulation, or learning technology experience is a plus but not required.
• Proficiency with tools such as Excel, Balsamiq, Tableau, Python, and SQL (and other technologies for day-to-day work).
• A strong grasp of data and technical architecture principles and best practices.

Technologies: Excel, Balsamiq, Tableau, Python, SQL, AI tools, AB testing.