Timely is revolutionizing school scheduling through AI-powered optimization technology. As an early engineer in this seed-stage startup, you'll lead the development of core scheduling algorithms that form the foundation of our product. The role combines deep technical expertise in optimization technologies with the opportunity to directly impact education systems.
The company has demonstrated strong product-market fit with 7x revenue growth in its second year. You'll be working on technology that helps schools better allocate resources, manage staffing, and improve educational delivery. The schedule optimizer you'll develop directly influences how schools manage their most critical resources - time and personnel.
As the technical lead for core algorithms, you'll work closely with product, customer success, and business stakeholders to evolve the scheduling engine. This involves not just technical implementation but also understanding complex educational domain requirements. You'll establish engineering best practices and help scale the team while maintaining high quality standards.
The ideal candidate brings strong experience in algorithm development and data-heavy systems, with bonus points for optimization technology expertise. You should be comfortable with Python ecosystem, cloud architectures, and production engineering practices. This is an excellent opportunity for someone who wants to combine technical leadership with meaningful impact in education technology.
Working remotely, you'll enjoy comprehensive benefits including health insurance and generous leave policies. The role offers the excitement and growth opportunities of an early-stage startup, while working on technology that directly improves educational outcomes.