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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management, focusing on product vision, strategy, and delivery within cross-functional teams. Proficient in leveraging data analytics and AI-driven capabilities to enhance decision-making and product outcomes.
Highest-signal resume keywords
Product Management ExperienceAI And Machine Learning ProductsData Analysis And ExperimentationCross-Functional Team LeadershipStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyRoadmap DevelopmentSpec-Driven DevelopmentAnalytical SkillsUser Outcome EvaluationAI Tools PrototypingKPI And OKR DefinitionTechnical Concepts UnderstandingEvidence-Based Decision-MakingProduct Delivery
Soft Skills
Excellent CommunicationCommercial Awareness
Industry Keywords
Editorial WorkflowsPeer ReviewResearch IntegrityDecision-Support SolutionsAgile MethodologyUser InsightsProduct LaunchCustomer AdoptionMigration PlanningEvidence Linking
About the role
Key responsibilities & impact- Own, define, and drive the product vision, strategy, and roadmap for editorial decision-support solutions in the post-peer-review process
- Lead delivery within a cross-functional agile team, manage priorities, maintain a healthy backlog, and ensure consistent product delivery
- Partner with scientific editors to understand decision-making challenges, gather user insights, and translate findings into product improvements
- Champion evidence-based decision-making through qualitative and quantitative research, analytics, experimentation, and clear success metrics
- Collaborate with data science teams to evaluate AI-driven capabilities, including review synthesis, contradiction detection, and evidence linking
- Measure product success through business and user outcomes, define KPIs and OKRs, communicate value, and assess build, buy, or partner options
- Work with engineering and technical teams to balance product, technical, and architectural considerations
- Ensure products support transparency, accountability, and responsible use of AI, with human oversight and auditability
- Align stakeholders across Publishing, Technology, Operations, Editorial Strategy, and Research Integrity
- Support go-to-market activities, product launches, customer adoption, and migration planning
Requirements
What you’ll need- Significant product management experience, including ownership of product strategy, roadmap development, and delivery
- Experience with Spec-Driven Development (SDD) is beneficial but not essential
- Strong product judgment and ability to define complex problems, evaluate trade-offs, and focus on user outcomes
- Experience working with AI and machine learning products, including generative AI, retrieval-augmented generation (RAG), or agent-based workflows
- Strong analytical skills and experience using data, experimentation, and research to inform decisions
- Experience leading product initiatives within cross-functional teams and delivering outcomes in complex settings
- Experience collaborating with data scientists and translating model evaluations and insights into product decisions
- Understanding of technical concepts and architectural trade-offs, with ability to work effectively alongside engineering teams
- Experience prototyping with AI tools is helpful but not required
- Excellent communication and stakeholder management skills
- Commercial awareness and understanding of how product decisions contribute to organisational goals and customer value
- Familiarity with scholarly publishing, editorial workflows, peer review, or research integrity is advantageous but not required
Benefits
Comp & perks- Wellbeing initiatives
- Shared parental leave
- Study assistance
- Sabbaticals
- Flexible working hours
- Country-specific benefits
- Accommodation or adjustment support during hiring for disabilities or other needs