timely - Product Manager, Optimizer

• Engage with customers to understand opportunities to generate better K12 school schedules. • Dive deep enough into the optimizer technology and scheduling domain to facilitate critical decisions with our engineering team. Drive those decisions forward with accountability. • Partner with Engineering to surface and refine improvements to the optimizer’s core algorithms, model-builders, and orchestration pipeline to meet user needs. • Collaborate with engineering to design and execute experiments that test optimizer changes, defining consistent performance and quality metrics (e.g., feasibility rate, schedule quality scores, solve time, constraint violations) that determine whether an enhancement is actually working. • Craft optimizer product requirements: defining and refining new product features that are built on (and inspire) new computational capabilities. Work with engineering (and AI agents) to break down requirements into well-defined stories. • Leverage AI to knit together requirements, story definition, and development workflows. • Develop and implement a vision for how generative AI can improve algorithmic optimization of schedules. • Own the end-to-end experience of how school schedulers interact with the optimizer — including how results, tradeoffs, and edge cases like infeasible or sub-optimal solutions are communicated and resolved. • Drive goal- and metric-setting processes with Engineering to motivate and measure optimizer squad outcomes. • Foster a culture of delivering value by setting and adjusting milestones, maintaining high standards, and keeping the team focused on impact. • Communicate product and technology decisions with clarity, ensuring internal and external stakeholders understand priorities and the reasoning behind them.