Engineering Technical Program Manager - W&B Platform

The Weights & Biases (W&B) team builds the developer platform trusted by machine learning practitioners to track, manage, and scale their ML workflows. As a Technical Program Manager focused on platform reliability and release management, you'll be at the centre of our platform's growth and stability.

You will partner with engineering teams within W&B and CoreWeave AI/ML Platform Services (AMPS) to ensure W&B integrates seamlessly into the broader ML ecosystem, while maintaining high reliability and predictable releases.

This role is ideal for someone who thrives in cross-functional environments, has a strong grasp of developer workflows, and excels at creating repeatable, reliable program structures that scale.

Responsibilities

• Drive end-to-end program management for critical platform initiatives.
• Build and run release management processes, ensuring predictable and high-quality delivery cycles.
• Partner with engineering and product to define success metrics, manage risks, and ensure on-time delivery.
• Build and scale incident management and RCA processes for W&B services.
• Improve the predictability and visibility of releases across teams, introducing dashboards, retrospectives, and program forums.
• Collaborate with TPMs and engineering leaders across W&B and CoreWeave to ensure end-to-end reliability across the ML developer stack.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 5+ years of program management experience in SaaS, developer tools, or ML/AI platforms.
• Proven experience running release management programs and incident management processes.
• Strong technical fluency in cloud computing, developer workflows, and CI/CD practices.
• Excellent communication and facilitation skills with diverse technical and non-technical audiences.
• Track record of improving reliability, efficiency, and predictability in software delivery.

Additional Qualifications

• Familiarity with ML workflows, model training/inference, and developer productivity tools.
• Experience building integrations between SaaS platforms, APIs, and cloud services.
• Strong background in reliability engineering practices and DevOps program leadership.