Pedagogical expertise in literacy, special education, and multilingual learner education, ideally from teaching or curriculum design.
Hands-on experience with AI evaluations, including human labeling and error analysis of LLM outputs.
Fluency in AI product design and usage of LLMs in practical applications.
Experience in defining features and collaborating with engineers on technical solutions.
Strong initiative, judgment, and clear communication skills for diverse audiences.
Responsibilities
Define quality standards for AI-powered instructional scaffolds based on research.
Build and maintain evaluation systems and datasets for quality tracking.
Write, test, and refine prompts and models to meet quality metrics.
Gather user feedback from educators and students to inform product decisions.
Prioritize and oversee the implementation of AI quality improvements and new features.
Benefits
Hybrid work environment that supports flexibility.
Opportunity to impact educational outcomes for diverse learners.
Collaboration with a dedicated team of educators and engineers.
Access to ongoing professional development in pedagogy and AI.
Full Job Description
The Opportunity
We're hiring a Technical Product Manager, Pedagogy & AI Quality to ensure that Medley's AI-powered instructional scaffolds continue to meet our high bar for quality and user experience. You'll tighten our rubrics for what high-quality scaffolds look like for reading and writing support in the areas of both multilingual learning and special education, and across various subjects. You'll expand upon our metrics, build upon our robust evals systems, and review processes that hold our AI to that bar.
This is a hybrid role at the intersection of pedagogy and AI product work. You'll write and test prompts, label and analyze model outputs, dig through traces and error reports, and partner closely with engineering to ship quality improvements. You will also learn and leverage the research around scaffolding high-quality instructional materials for multilingual learners at different proficiency levels, as well as accommodations and supports for students with receptive and expressive language disabilities and neurodivergent students.
You'll work closely with our head of product and engineers to ensure that Medley consistently serves teachers and students in our partner districts with scaffolds that meet the highest levels of quality. Over time, you'll own the quality and usability of our scaffolds suite as it continues to grow to support more students with diverse needs, prioritizing product improvements and new features to better support teachers and drive student outcomes.
What You'll Do
Define what "excellent" looks like. Translate research-based practice in literacy, special education, and multilingual learner instruction into clear, usable quality standards for Medley scaffolds, and set targets for AI output quality.
Track and monitor quality with a robust evals system. Build and maintain datasets, rubrics, and eval suites and conduct regular error analysis and trace review, combining human labeling, LLM-as-judge and rule-based evals.
Refine prompts and models as needed. Write, test, and refine prompts; run model comparisons and regression tests, making changes as needed to ensure outputs are consistently meeting target metrics and passing quality thresholds.
Stay close to our users and represent their voice in product decisions. Regularly review signals from educators, data from support tickets, product analytics, and conduct user research with students and teachers to inform product decisions.
Prioritize and ship AI quality and scaffold-related product improvements. Maintain a prioritized backlog of AI quality and scaffold UX issues; write clear specs, and work with engineering to scope, build and verify fixes, product updates and new features.
What We're Looking For
Pedagogical expertise, especially in scaffolding literacy instruction for struggling readers, special education, and/or multilingual learner education, and ideally from classroom teaching, intervention, instructional coaching or curriculum design.
Hands-on experience with AI evals, including human labeling, LLM-as-judge rubric design, AI metrics targets definition, and error analysis of LLM outputs.
AI product fluency: you use LLMs daily and have experience designing complex AI systems for products.
Experience defining new features and collaborating with engineers to deliver them: you can clearly communicate a problem and solution, and work through technical tradeoffs and UX questions.
Strong initiative, sharp judgment, and clear writing: you take action when you spot a problem, make swift decisions grounded in data and instincts, and communicate clearly to both technical and non-technical audiences.
Nice to Have
Graduate degree and/or significant direct experience in special education, reading/literacy, ESL/ELD or bilingual education.
Familiarity with AI eval and observability tools (e.g., LangSmith, Braintrust, Arize, Langfuse) or annotation platforms.
Proficiency in a language other than English.
Prior work at an edtech company, or on content quality, assessment design or psychometrics.
Familiarity with accessibility standards (e.g., WCAG) and assistive technology.
