Top Tech Jobs & Startup Jobs in Seattle, WA

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

Lead development of a scalable AI tutoring system: build prompt architectures and agentic workflows, run experiments and custom evaluations, integrate models into production, ensure safety and observability, prototype novel model interactions, and collaborate with educators and product teams to translate pedagogical goals into robust technical solutions.

Design, build, and productionize the core AI tutoring system: prompt architectures, agentic workflows, evaluation frameworks, and scalable integrations. Run experiments, ensure safety and observability, and collaborate with product and education teams to improve learning outcomes.

Lead development of a real-time, adaptive AI tutoring system: design prompt architectures and agent workflows, build scalable production integrations, run rigorous experiments and custom evaluations, ensure safety and observability, and collaborate with educators and product teams to prototype and productionize novel model interactions.

Manage content development for technical courses in business intelligence, collaborate with experts, and assess course performance for improvements.

Manage the content development lifecycle for data science and data engineering courses, collaborate with subject matter experts, and improve course performance using AI systems.

As a Curriculum Manager, you'll oversee content creation for data science courses, collaborate with subject matter experts, and improve course delivery using AI tools.

As a Curriculum Manager, you'll manage content development, collaborate with experts, create data science courses, and assess course performance.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.