Jobs at The Learning House

Manage web content, landing pages, and LinkedIn social media for Wiley’s AI and Data Analytics marketing program. Responsibilities include writing and editing copy, building CMS pages, authoring blogs, applying SEO and CRO practices, monitoring performance data, auditing web content, coordinating campaigns, and optimizing social engagement. The role collaborates with marketing, product, web, design, and SEO teams to deliver brand-aligned content and support conversions.

Oversee production performance for a portfolio of 70–80 journals, monitoring schedules, copyflow, risks, and publication progress. Coordinate with internal teams, authors, editors, and external suppliers to resolve issues, maintain accurate publication data, and support quality and consistency. The role also contributes to workflow improvements and continuous improvement initiatives across the production team.

Develop and execute customer-focused content marketing programs across research and learning audiences. Create and optimize blogs, articles, white papers, webinars, videos, infographics, and landing pages; manage content calendars and digital assets; apply SEO; support social, email, paid search, and web campaigns; collaborate with product, brand, insights, regional, and creative teams; and report on content performance and marketing KPIs.

Supports the Advanced Marketing team with campaigns, content coordination, event logistics, asset requests, post-event nurturing, lead tracking, performance reporting, branded gift boxes, vendor coordination, and SharePoint maintenance. The role requires strong organization, communication, multitasking, data collation, and project coordination skills while supporting global marketing initiatives and events.

Owns end-to-end global B2B demand generation campaigns across email, landing pages, digital advertising, marketing automation, content, and account-based marketing. Builds segmented and personalized campaigns, coordinates targeting and sequencing with marketing operations, tracks performance, and conducts post-campaign analysis to improve future campaigns. Requires strong writing, campaign ownership, and cross-channel execution skills.

Leads market intelligence, competitive analysis, portfolio analytics, and pricing research for Wiley’s Clinical Outcomes Assessment business. Builds datasets, dashboards, and AI-assisted analytical workflows to identify portfolio opportunities and inform product roadmaps, partnerships, and commercial positioning. Collaborates with product, commercial, scientific, licensing, and delivery teams to translate complex clinical, regulatory, and market data into defensible recommendations for senior stakeholders.

Lead product discovery and delivery for an AI platform serving life-sciences R&D. Partner with design, engineering, and data science to define requirements, prioritize features, and measure outcomes. Engage researchers and R&D users to ground decisions in workflows, and help scale enterprise AI/data products from concept through launch.

Define and document business and system requirements for editorial/manuscript workflows, support product roadmap prioritization, assist implementation and UAT, act as contact during rollout, and drive adoption across cross-functional teams.

Manage peer-review and editorial decisions for a large portfolio of journals from submission to acceptance, coordinate reviewers and authors, commission content, support special issues, collaborate with global colleagues, and contribute to workflow optimization and cross-functional projects in scholarly publishing.

Lead strategic development and visibility of one or more education journals: solicit and commission high-quality submissions, manage peer review and editorial decisions, uphold publishing ethics, build global researcher networks, represent the portfolio at conferences and institute visits, and collaborate with internal and external editorial colleagues to drive innovation and high performance.

Own production NLP and applied AI systems that enrich scientific literature with entities, classifications, claims, and summaries. Design and evaluate classical NLP, embedding, retrieval, and LLM approaches; build scalable Python pipelines; manage cost, concurrency, reliability, and model quality. Collaborate with data engineers on Airflow and Dagster orchestration, contribute to agentic AI applications, and work with editors, product managers, and engineers to deliver research intelligence to users.

Build and operate NLP enrichment pipelines over scientific literature, extracting entities, classifications, claims, and summaries. Compare classical NLP, retrieval, embedding, LLM, and fine-tuned model approaches using evaluations, cost, quality, and operational metrics. Create golden datasets, define evaluation strategies, contribute to agentic AI applications, and collaborate with editors, product managers, engineers, SMEs, and vendors to deliver production modeling systems.

Manages B2B marketing automation campaigns from planning and project setup through production, delivery, reporting, and closeout. Coordinates stakeholders, deliverables, timelines, and priorities while ensuring campaign alignment with strategy and objectives. Tracks campaign performance, interprets results, identifies opportunities, and applies learnings to optimize future campaigns. Uses marketing and project management platforms to maintain accurate project information and drive timely execution across multiple teams.

Manage B2B marketing campaigns from planning and project setup through production, delivery, reporting, and closeout. Coordinate cross-functional stakeholders, track tasks and deadlines, resolve prioritization conflicts, ensure campaign assets align with strategy, and monitor performance metrics. Use campaign insights and previous results to recommend improvements and optimize future marketing strategies.

Manage and grow corporate subscription accounts for research-intensive clients by selling complex, AI-enabled knowledge solutions. Build account strategies, identify cross-sell/upsell opportunities, negotiate contracts, forecast pipeline in CRM, deliver high-stakes presentations, collaborate with Product/Marketing/Customer Success, and conduct market and customer research to inform sales approaches.