Senior Product Manager – Triage

Overview

In this role you own the strategy and roadmap for editorial triage, the first high-volume decision point in the publishing workflow. You will work in a cross-functional team to move triage toward an AI-assisted intelligence layer that supports human editors, surfacing prioritized signals at the point of decision. You’ll translate user insights into product improvements and partner with data science to evaluate signals and model behavior. This role combines product leadership with a strong eye on AI-enabled decision making, impact, and journal integrity. Your work shapes how editors decide, scale, and ensure quality across millions of submissions.

Pay / Benefits

• wellbeing initiatives
• shared parental leave
• study assistance
• sabbaticals
• flexible working hours

Responsibilities

• Define and deliver the product vision, strategy, and roadmap for editorial triage solutions.
• Lead delivery within a cross-functional agile team, manage backlog and priorities.
• Conduct customer discovery with editorial users to identify needs and translate insights into improvements.
• Design and improve signal management and triage experiences to aid prioritization and action.
• Foster evidence-based decision-making through research, analytics, experimentation, and clear success metrics.
• Collaborate with data science to evaluate signal quality and translate findings into product enhancements.
• Align product outcomes with business goals using KPIs, OKRs, ROI analysis, and strategic decisions.
• Work with engineering to assess architectural and technical trade-offs.
• Build products that ensure transparency, accountability, and auditable decision-making with human oversight.
• Coordinate with Publishing, Technology, Operations, Editorial Strategy, and Research Integrity to communicate impact.
• Support go-to-market planning, launches, adoption, and change management.

Key requirements

• Significant product management experience with strategy, delivery, and roadmap ownership.
• Strong product thinking with a focus on meaningful user outcomes.
• Experience with AI and machine learning products, including generative AI, RAG, or agent-based workflows.
• Strong analytical skills for data interpretation, experiments, and decision-making under uncertainty.
• Experience leading cross-functional initiatives and delivering results in evolving environments.
• Ability to partner with data scientists and apply model insights to product decisions.
• Understanding of technical concepts and ability to collaborate with engineering on architectural trade-offs.
• Excellent communication and stakeholder management for technical and non-technical audiences.
• Commercial awareness and understanding of how product decisions affect business outcomes.
• Familiarity with scholarly publishing or editorial workflows is advantageous but not required.

• excellent communication
• stakeholder management
• adaptability
• AI and machine learning product experience
• generative AI
• retrieval-augmented generation (RAG)

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