Technical Product Specialist Visa Sponsorship Jobs in New Jersey

INTRODUCTION

Medscape, a division of WebMD, develops and hosts physician portals and related mobile applications that make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers.

ABOUT MEDSCAPE:

At Medscape, a division of WebMD, our mission is to improve patient care by empowering physicians and healthcare professionals with essential clinical information and educational experiences. Medscape Education delivers accredited and non-accredited learning experiences to healthcare professionals globally, combining high-quality medical content with engaging digital products.

YOUR ROLE:

• We are looking for an experienced Senior Product Manager to own the Structured Learning journey within Medscape Education, including our core learning activity experience across US and international markets.
• This is a significant product ownership role at the intersection of clinician needs, medical education, technology and a fast-paced commercial business. You will be responsible for understanding how healthcare professionals engage with our learning experiences, identifying the most important problems to solve, defining product priorities, and working closely with Design and Engineering to continuously improve those experiences.
• You will operate in an environment with many stakeholders and competing demands across Education, Commercial, Editorial, Operations, Engineering, Design and other Medscape teams. Success therefore requires more than strong execution. We are looking for someone with excellent product judgment, who can create clarity from ambiguity, distinguish urgent requests from important product problems, challenge proposed solutions constructively, and keep teams focused on user and business outcomes.

WHAT YOU'LL OWN:

You will own the Structured Learning product area, including:

• The core Learning Activity journey, across US and international experiences.
• Product capabilities and rollout processes to support, distribute and evolve Structured Learning products.
• The roadmap and ongoing evolution of these experiences based on learner needs, business priorities, product performance and Medscape Education's broader strategy.
• You will work closely with PMs responsible for adjacent journeys including Discovery & Access, Interactive Learning, Accreditation & Outcomes, Adaptive Learning/AI, Commercial AI Offerings and Shared Services & Platforms.

WHAT YOU'LL DO:

Own the product, not just the backlog

• Define a clear product vision, strategy and roadmap for Structured Learning aligned with Medscape Education and broader Medscape priorities.
• Take end-to-end ownership of the product area, from identifying problems and opportunities through discovery, delivery, launch, measurement and iteration.
• Translate broad or ambiguous business needs into clearly defined user problems, outcomes and product opportunities.
• Make thoughtful prioritization decisions across user value, business value, commercial commitments, strategic alignment and engineering investment.
• Maintain focus when multiple stakeholders consider their requests urgent, and clearly communicate what is — and is not — being prioritized and why.

Practice continuous product discovery

• Develop a deep understanding of healthcare professionals, their learning behaviors and the problems they encounter throughout the learning journey.
• Regularly engage directly with users through interviews, usability testing, behavioral analysis and other discovery methods.
• Partner closely with Design and Engineering throughout discovery.
• Test assumptions and potential solutions early through prototypes, experiments and other lightweight approaches before committing significant engineering investment.
• Combine qualitative research, product analytics, stakeholder knowledge and business context to make decisions.

Use AI to accelerate product work

• Use AI-assisted prototyping to quickly turn hypotheses and ideas into experiences that can be tested with users and stakeholders.
• Apply AI throughout discovery and delivery to accelerate research synthesis, analysis, requirements, documentation and other product activities.
• Identify and automate repetitive or low-value product tasks, creating more capacity for discovery, strategy and decision-making.
• Continuously look for opportunities to simplify processes and shorten the path from problem prototype feedback delivery through AI and automation.
• Experiment with emerging AI tools and share effective practices with the broader Product organization, while applying appropriate judgment in a healthcare and regulated environment.

Lead cross-functional product delivery

• Work as an active member of a cross-functional team with Design, Engineering and other partners.
• Define problems, desired outcomes and product requirements clearly enough for teams to make good decisions without prescribing every implementation detail.
• Maintain a healthy, prioritized backlog connected to product outcomes and strategy.
• Partner with Engineering to understand technical constraints, dependencies and trade-offs and make pragmatic decisions.
• Drive continuous delivery and iteration rather than treating launch as the end of the product lifecycle.

Navigate a demanding stakeholder environment

• Build strong relationships with senior stakeholders across Education, Commercial/Sales, Editorial, Medical, Marketing, Operations and Technology.
• Listen carefully to stakeholder and client needs while maintaining strong product judgment about the right solution.
• Be comfortable respectfully challenging requests, asking for evidence and clarifying the underlying problem before committing product resources.
• Set clear expectations around priorities, scope, trade-offs and timelines, particularly when stakeholder needs conflict.
• Communicate decisions and rationale regularly, concisely and confidently to both technical and non-technical audiences.
• Recognize when an issue requires escalation and proactively bring forward risks, decisions and trade-offs rather than allowing problems to remain unresolved.

Use evidence to drive decisions

• Define success measures for the Structured Learning journey and use them to guide product decisions.
• Develop a strong working knowledge of product analytics and independently use data to investigate product performance and user behavior.
• Combine quantitative signals with qualitative feedback rather than relying exclusively on stakeholder requests or anecdotal evidence.
• Measure product outcomes after release and use the results to determine whether to iterate, expand or stop an initiative.

Help strengthen the Product organization

• Model strong product management practices and contribute to raising the overall product competency within Medscape Education.
• Share discovery, experimentation and product-management practices with peers.
• Collaborate across product areas rather than optimizing only for your own roadmap.
• Help create clearer ownership, better prioritization and stronger product decision-making across the organization.

WHO YOU ARE:

• 5+ years of hands-on product management experience, with meaningful ownership of customer-facing digital products.
• Demonstrated experience owning a product or major customer journey from strategy and discovery through delivery and optimization.
• Strong product fundamentals: you can articulate the difference between a user problem, a business request, a solution and an outcome.
• Experienced in qualitative user research and comfortable personally interviewing customers/users and testing product concepts.
• Strong analytical skills and comfortable using product data to investigate behavior, identify opportunities and evaluate results.
• Proven ability to prioritize when faced with multiple competing stakeholder requests and limited resources.
• Comfortable operating in a fast-moving environment where priorities can change and information may initially be incomplete.
• Assertive but collaborative stakeholder management style: able to build trust while challenging assumptions, negotiating trade-offs and saying no when necessary.
• Excellent written and verbal communication skills, including communicating complex product decisions to senior stakeholders.
• Strong partnership skills with Engineering and Design and experience working in empowered, cross-functional product teams.
• Able to move between strategic thinking and hands-on product work without becoming primarily a project coordinator.
• Comfortable working across global teams, time zones and markets.
• Hands-on experience using generative AI, prototyping and automation tools to improve the speed and effectiveness of product work.

PREFERRED QUALIFICATIONS:

• Experience in healthcare, digital education, publishing or another regulated/content-intensive digital business.
• Experience with Continuing Medical Education (CME), professional learning platforms or learning management systems.
• Understanding of commercial or B2B environments where customer commitments and product strategy need to be carefully balanced.
• Experience with global digital products, particularly products operating across US and international markets.
• Familiarity with medical content workflows, accreditation or regulated educational environments.

SALARY RANGE: $94,000 - $110,000

BONUS ELIGIBLE: This position is also eligible for a discretionary company bonus, based upon business results.

BENEFITS:

• Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:

• Health Insurance (medical, dental, and vision coverage)

• Paid Time Off (including vacation, sick leave, and flexible holiday days)
• 401(k) Retirement Plan with employer matching
• Life and Disability Insurance
• Employee Assistance Program (EAP)
• Commuter and/or Transit Benefits (if applicable)

Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.