AI Technical Program Manager
Confirmed live in the last 24 hours

51-200 employees

Unified platform for developing and deploying AI
Company Overview
Modular, a next-generation AI developer platform, stands out for its unique culture of direct communication and support, offering both community members and enterprise customers the opportunity to interact with the team via Discord and receive expert assistance. The company's competitive advantage lies in its unified approach to AI development and deployment, making it a leader in the AI industry. Its technical prowess is demonstrated in its ability to support customers in scaling to meet their future challenges, showcasing its commitment to continuous growth and adaptation.
AI & Machine Learning

Company Stage

Series A

Total Funding






Growth & Insights

6 month growth


1 year growth


2 year growth

Canada • United States
Experience Level
Desired Skills
AI & Machine Learning
  • 7+ years of experience in technical program management, ideally in AI/ML or software development
  • Deep understanding of machine learning runtimes and graph compilers, kernel development and optimization techniques, and performance analysis and benchmarking tools
  • Experience working with specific ML frameworks (e.g., TensorFlow, PyTorch) and compiler technologies
  • Strong analytical and data-driven decision-making capabilities
  • Strong project management skills, including experience with common project management methodologies and tools (e.g., Agile)
  • Experience leading cross-functional teams and delivering complex technical projects on time and within budget
  • Growth and leadership mindset, with an attitude that seeks to learn more from customers, team, and the broader market
  • Work closely with Modular’s development team and world leading AI application developers and drive impact through deployment of state-of-the-art AI inference systems
  • Oversee feature development, prioritize and align feature requests with product roadmap and strategy, define and document clear requirements and success criteria for ML runtime, graph compiler, and kernel features, track feature development progress and ensure quality through testing and release processes
  • Optimize performance, collaborate with engineers to analyze performance bottlenecks and identify optimization opportunities, drive implementation of performance improvements in runtime, compiler, and kernels
  • Drive technical program execution, develop and manage project plans, schedules, and resource allocation, track progress, identify risks, and implement mitigation strategies, foster cross-functional collaboration between engineering, research, and product teams, proactively address technical challenges and dependencies
  • Manage stakeholder relationships, build strong relationships with internal engineers, product managers, and external customers/partners, communicate project status, risks, and opportunities effectively, manage expectations and drive alignment across teams
  • Foster innovation and collaboration, promote knowledge sharing and technical mentorship within the team, encourage experimentation and continuous improvement in ML runtime and compiler development, work cross-functionally to identify opportunities and implement best practices, robust tools, and sustainable processes in a fast-paced and dynamic environment
Desired Qualifications
  • 5+ years of experience in software development, systems engineering, or full product life-cycles
  • PMP or other project management certification
  • Experience developing, training, and/or deploying machine learning models into production environments
  • Experience working in or around startups or a strong understanding of the nature of fast-moving, highly dynamic teams