Product Manager, Optimizer

This role is for an experienced product manager who is comfortable operating at the intersection of “hard” algorithmic systems and “soft” customer problems. You'll work together on a product squad with the engineers who build and tune the optimizer. You will own the strategy that brings users from their constraints to optimized schedules, defining the optimization process and experience, validating improvements with customers, and using a blend of AI and UI to ensure the complexity of problem-solving is expressed as simply as possible.

This role will balance technical collaboration with product judgment - deciding which optimizer enhancements are worth pursuing, how to measure their effectiveness, and how to design the surrounding experience so that schedulers understand what the optimizer is doing and why. You'll ensure product decisions are clear, priorities are well-communicated, and our roadmap reflects the diverse needs of school schedulers and the demanding needs of a fast-growing business..

Mindset: You're energized by complex, technical problems — not just user experience problems, but the mechanics of how math + compute + expertise can solve real-world challenges. You're comfortable digging into solution metrics and user edge cases, working with Engineering to understand tradeoffs (e.g., speed vs. quality vs. feasibility), and turning that understanding into clear product decisions. You take ownership, communicate progress effectively, and adapt quickly in a fast-paced startup environment.

Experience: 4+ years in B2B SaaS product organizations, with at least 3 years as a Product Manager. Experience working on products with an algorithmic, decision-support, or operations research core — you don't need to build the solvers yourself, but you should be comfortable partnering closely with the people who do.

Skills: Strong in data analysis and metric design, with the ability to design experiments and interpret their results. Strong user-centric story writing and mastery of agile toolsets (e.g., Jira, Notion, Miro, etc.). Demonstrated experience using AI-enabled SDLC practices to streamline the discover-define-build-test-learn loop.

Strengths: Collaborative by default, detail-oriented problem solver, and a visual communicator (e.g., mockups, sketches, diagrams, journey maps, etc.).

Nice-to-have (not required): Background in EdTech and/or education sector; experience with optimization, decision-support systems, constraint satisfaction, or algorithmic products; familiarity with A/B testing or experimentation frameworks; background in operations research or a technical discipline.

Work with an exceptional team tackling meaningful challenges in education.

Be part of a growing, financially healthy company with a proven product.

Enjoy comprehensive benefits, including health and dental insurance, parental leave, 401(k), unlimited PTO, access to coworking, and equity in a fast-growing, successful startup.