Teams at Timely (timelyschools.com)

Own data ingestion, transformation, exchange, and integration workflows between K–12 Student Information Systems and Timely’s scheduling platform. Ensure pipeline accuracy, security, reliability, and scalability while collaborating with engineering, product, customer success, district IT teams, and SIS vendors. Develop documentation, process improvements, automation scripts, and lightweight Python tools; lead discovery for new SIS integrations and help scale the data integrations function.

Own the strategy, requirements, metrics, and user experience for an AI-powered school scheduling optimizer. Partner with engineering on algorithms, model builders, orchestration, experiments, and generative AI capabilities. Engage school customers, define optimization quality measures, communicate tradeoffs, prioritize enhancements, and guide roadmap execution for improved schedule feasibility, quality, and usability.

Design, build, and maintain optimization technology, full-stack systems, and data-intensive scheduling infrastructure. Improve optimization algorithms using linear optimization, machine learning, and generative AI. Lead complex technical initiatives, establish testing and observability, support scalable operations, troubleshoot customer issues, participate in on-call rotations, and mentor engineers while partnering closely with product and engineering teams.