Top Edtech Product Manager Jobs in San Francisco, CA

Lead the Progress product to model program requirements and evaluate student progress. Drive technical decisions with engineering, perform customer discovery with university partners, design scalable solutions across institutions, and deliver iterative product improvements that align with Stellic's long-term strategy.

The Senior Product Manager will lead AI-driven product strategies, enhance customer experience, and manage complex enterprise systems, focusing on user-centric design and data-driven decisions.

The Product Manager will oversee ClassWallet products from conception to delivery, ensuring stakeholder needs are addressed and maximizing product value through effective collaboration and prioritization.

The Product Manager will oversee user access experiences, improve authentication workflows, partner with engineering and sales teams, and drive revenue and retention strategies for Pluralsight's products.

The Associate Product Manager role at IXL Learning is designed for new grads to engage in product design and project management, advocating for users, gathering requirements, and collaborating with teams to develop educational products.

The AI Product Manager will engage directly with customers to improve onboarding experiences, utilizing AI to streamline processes and enhance customer satisfaction.

The Senior Product Marketing Manager at Quizlet will lead go-to-market strategies, engage key audiences, analyze performance, and connect product insights with marketing execution.

The Senior Technical Product Manager at ClassDojo will define platform strategies, drive product initiatives, and ensure alignment with user and business needs, focusing on high-impact capabilities and collaboration across teams.

The Senior Product Manager will lead the development of platforms for creating RL environments efficiently, collaborating across teams to improve workflows and quality. Responsibilities include defining product roadmaps, enhancing operator tooling, and measuring success metrics.

The role involves defining AI vision, shaping AI-first experiences, translating research into products, driving experimentation, ensuring ethical AI implementation, bridged communication among teams, and championing outcome-driven strategies in educational technology.