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CodePathCodePath

Senior Director of Curriculum

Senior Director of Curriculum responsible for vision, strategy, and execution of CodePath’s full curriculum portfolio with focus on AI-native software engineering, cybersecurity, web development, and technical interview prep. Lead modular curriculum architecture, course development, team building, and cross-functional alignment to prepare thousands of learners for industry needs.

About the job

Key Responsibilities

Curriculum Strategy & Portfolio Ownership

  • Lead CodePath’s long-term curriculum strategy and transition to a modular, flexible architecture that supports AI-native skills, rapid iteration, and multiple delivery models.
  • Own the curriculum product roadmap, maintaining 12-month visibility into new courses, major revisions, and portfolio investments.
  • Maintain and evolve a comprehensive course catalog across Web Development, Mobile Development, Cybersecurity, Technical Interview Prep, Foundational CS, and AI-native offerings.

Course Development & Quality

  • Lead the design and launch of new courses aligned to emerging industry needs, particularly in AI-native engineering and applied AI workflows.
  • Oversee ongoing maintenance, revision, and improvement of existing courses to ensure relevance, rigor, and student impact.
  • Ensure curriculum combines rigorous learning science with real-world engineering practice, clear career pathways, and applied experiences including open-source and industry-aligned projects.

Team Leadership & Operations

  • Build, manage, and develop a high-performing curriculum team, including full-time staff and external contractors.
  • Establish clear processes for curriculum planning, development, QA, feedback, and continuous improvement.
  • Partner with senior leadership to forecast hiring needs and scale curriculum capacity in line with organizational growth.

Cross-Functional & External Collaboration

  • Partner closely with Learning to ensure curriculum translates effectively into classroom delivery, aligned pedagogy, and student experience.
  • Collaborate with Engineering to align curriculum with tooling, content systems, and delivery infrastructure within the CodePath Platform.
  • Represent CodePath externally with university partners, employers, funders, and at industry events, clearly articulating curriculum quality and rigor.

Key Success Metrics (12–18 Month Outcomes)

  • Establish a clear, opinionated curriculum strategy and modular architecture that reduces resources required to develop, launch, and maintain curriculum by incorporating AI-first curriculum process/tooling.
  • Refresh or significantly improve the majority of the existing course catalog with targeted improvements, raising the overall quality bar.
  • Launch 2-3 new AI-focused courses that meet industry expectations, strong student satisfaction, and learning outcome benchmarks (Completion 70%, Job attainment 60%, student NPS 50-60).
  • Improve curriculum alignment with delivery, contributing to higher completion rates, clearer value propositions, and stronger student confidence entering internships and full-time roles.
  • Build a scalable, disciplined curriculum function capable of accelerating growth and improving quality with successful hiring of two new FTEs.

Qualifications

Required

  • Strong software engineering background with the technical credibility to shape CS and AI-native curriculum.
  • Demonstrated excellence in curriculum design, computer science education, or instructional leadership.
  • Experience owning end-to-end technical curriculum used by thousands of learners, from design through iteration and measurable outcomes.
  • Experience or excitement to incorporate an AI-first curriculum process/tooling that accelerates and improves quality.
  • Proven ability to lead and develop teams, including managing full-time staff and contractors.
  • Deep understanding of the computer science degree journey and the gap between academic preparation and industry expectations.
  • First-principles thinker with evidence-based curriculum expertise, high ownership, and a bias towards action grounded with disciplined execution.

Preferred

  • Experience designing AI-native, GenAI, or applied ML curriculum.
  • Familiarity with open-source software development or community-based contribution models.
  • Experience operating in fast-growing, mission-driven organizations.
  • Exposure to platform-based or large-scale learning environments.

Skills

Curriculum Design, Ai-Native Engineering, Computer Science Education, Technical Curriculum Development, Instructional Leadership, Software Engineering, Generative AI, Applied Ml, Open Source, Learning Science, Project-Based Learning

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