Top Tech Jobs & Startup Jobs

Manage national publishing accounts including Barnes & Noble and Books-A-Million. Drive sales of frontlist, backlist, and seasonal titles; develop account-specific promotions; forecast inventory; analyze sales trends; lead presentations and sales meetings; maintain sales data; support go-to-market planning; collaborate with marketing, publicity, and publishing teams; and identify additional national account opportunities.

Leads Wiley’s Enterprise Data Platform product domain, owning its roadmap, prioritization, adoption, team development, and business outcomes. Partners with senior business and technology stakeholders to simplify the data landscape, improve governance and reuse, and deliver scalable capabilities for trusted decision-making. The role requires strong enterprise product leadership, data platform expertise, stakeholder influence, technical understanding, and experience developing teams and product management practices.

Authors and maintains interactive web-based engineering education content, including lessons, activities, labs, questions, animations, and tools. Oversees external authoring projects, reviews content quality, collaborates with project managers and engineering colleagues, and contributes to roadmaps. Supports marketing and sales demos, responds to instructor feedback, and may publish research, articles, webinars, and blog posts.

Leads Wiley Research’s commercial analytics strategy, including KPI frameworks, executive dashboards, competitive intelligence, performance measurement, data governance, and scenario modeling. Advises executive and board-level leaders, aligns Finance and commercial reporting, consolidates fragmented data practices, and builds a trusted analytics capability across global teams. The role also develops analytical talent, drives self-service reporting, and translates complex findings into strategic decisions concerning growth, retention, investment, and market performance.

Own production NLP enrichment systems for scientific literature at scale. Build pipelines extracting entities, classifications, claims, and summaries; compare classical NLP, embeddings, and LLM approaches; develop evaluations and golden datasets; and ship reliable, cost-efficient Python systems. Collaborate with data engineers using Airflow and Dagster, contribute to agentic AI applications, and partner with editors, product managers, and engineers to translate modeling needs into product outcomes.

Lead end-to-end development of asynchronous education programs, videos, and resources for a SaaS product ecosystem. Conduct portfolio audits, establish content standards, manage multiple project workstreams, and represent education priorities in product planning to keep content aligned with platform releases.

Drive adoption and recurring revenue for Wiley digital courseware by prospecting higher-education institutions, managing sales pipelines, presenting solutions, expanding accounts, and partnering with Customer Success, product, and marketing teams. The role includes customer training, territory planning, KPI monitoring, Salesforce reporting, territory-data analysis, and supporting LMS/LTI implementations. Travel up to 40% is required.

Leads enterprise marketing campaign strategy, operations, budgets, analytics, technology adoption, and performance optimization across channels. Manages campaign, creative, and analytics teams; partners with executive, product marketing, field marketing, and sales leaders; oversees customer acquisition and conversion initiatives; manages vendors and agencies; and drives organizational development, innovation, automation, and transformation to achieve revenue growth and market expansion.

Leads end-to-end ETL processes, develops Power BI dashboards, and uses SQL and BigQuery to deliver business insights. Partners with stakeholders and executives to support strategic decision-making, communicates complex findings clearly, and mentors analysts on data analysis, ETL, and dashboard development best practices.

Build and own production NLP enrichment pipelines for scientific literature at scale. Develop entity extraction, classification, claims, and summarization systems using classical NLP, embeddings, retrieval, LLMs, and fine-tuned models. Create evaluation datasets and metrics, balance quality, cost, and latency, and contribute to agentic AI applications. Collaborate with editors, product managers, engineers, SMEs, and vendors to deliver reliable modeling outcomes.