Top Tech Jobs & Startup Jobs

Lead strategy, roadmaps, and execution for OCLC's resource sharing products to improve fulfillment, automation, and delivery. Manage a product team, partner with development, finance, and marketing, drive revenue and profitability, run market analysis, customer workshops, and produce product/business plans, go-to-market materials, and metrics.

Lead and manage high-volume library technology implementations from initiation through completion. Conduct virtual and onsite workflow analysis, configure service options, manage data migrations, coordinate cross-functional teams, track project status, report satisfaction metrics, and deliver consultative services to ensure successful adoption of OCLC products and integrations.

Design, implement, and operate key components of a high-throughput link harvesting and evaluation pipeline. Lead architecture and technical decisions, mentor junior engineers, adopt AI/ML (LLMs) in production, ensure system reliability and low impact on other services, and maintain high code quality with CI/CD and production support.

Lead a player‑coach engineering team building a cloud‑native WorldCat Entities platform. Split time between hands‑on design and coding (30–50%) and coaching engineers, driving architecture, ensuring production readiness, designing APIs and data pipelines, improving CI/CD and reliability, and coordinating cross‑team delivery and operational practices.

Design, implement, and lead development of eResources features (Knowledge Base, Collection Manager, Central Index). Build RESTful services and React UIs, support Big Data processing (Hadoop), participate in architecture, conduct code reviews, mentor junior engineers, and collaborate with QA, product, infrastructure, and security to deliver and support production systems.

Lead design, development, and operation of large-scale data pipelines (ingest, transform, cluster, publish). Define pipeline architecture, ETL, data quality, and indexing strategies; set engineering standards, mentor engineers, troubleshoot production issues, and champion agile practices and AI-assisted tooling while maintaining security and data governance.

Lead and grow the SHARES resource sharing network and RLP program by setting strategic priorities, running outcome-oriented working groups and town halls, translating community insight into product and policy recommendations, managing partner engagement, and partnering with internal product, support, and research teams to pilot and operationalize next-generation resource sharing (including AI-enabled smart fulfillment).

Design, develop, test, and maintain scalable data solutions and software. Write, debug, and optimize code. Collaborate on design discussions, code reviews, documentation, and stakeholder requirements. Implement new features, integrate AI tools, and improve application performance and scalability.