Product Manager, Applied Research Intelligence

Wiley

3d•$89,100 - $127,700•Remote

About The Position

The Product Manager, Applied Research Intelligence helps build Wiley’s AI platform for life-sciences research and development — products that help scientists and R&D teams turn the world’s scientific literature and data into faster, better-evidenced decisions. Working across the platform, you will partner with product, design, engineering, and data science to move features and improvements from idea to launch, and to keep what we build grounded in how researchers actually work. You will contribute to product discovery with researchers and R&D users, help shape requirements and priorities, and track how your work performs once it ships. You’ll collaborate closely with senior product managers and the wider team across several workstreams, bringing the perspective of the life-sciences user to everyday product decisions. This is a hands-on role with room to grow as the team and platform mature.

Requirements

Product management experience (typically 5+ years) on B2B / enterprise software — ideally data, analytics, AI/ML, or platform products — contributing to products from discovery through launch.
Experience working in, or closely alongside, research and development in pharmaceutical or life-sciences organizations, with a good understanding of how scientists and research teams work.
Ability to turn customer and market insight into clear requirements and measurable outcomes.
Comfort with technical concepts — data, APIs, and AI/LLM-driven workflows — and the ability to collaborate effectively with engineering and data science.
Sound prioritization and judgment in an ambiguous, fast-moving environment, drawing on both qualitative and quantitative evidence.
Strong communication and collaboration skills across internal product, design, engineering, and commercial teams as well as external integration partners.
Experience contributing to a product or product line that scaled to $50M+ in revenue, from build through launch.

Nice To Haves

An advanced degree (PhD or MS) in a life-sciences field.
Familiarity with scientific informatics tooling (ELN/LIMS, Benchling-class tools), knowledge graphs, or systematic-review and evidence-synthesis workflows.

Responsibilities

Partner with product, design, engineering, and data science to move features and improvements from idea to launch.
Keep products grounded in how researchers actually work.
Contribute to product discovery with researchers and R&D users.
Help shape requirements and priorities.
Track how your work performs once it ships.
Collaborate closely with senior product managers and the wider team across several workstreams.
Bring the perspective of the life-sciences user to everyday product decisions.