Product Technical Program Management - Weights & Biases

CoreWeave is The Essential Cloud for AI™, delivering a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. The Product Technical Program Manager will lead execution of customer-facing features and partner closely with various teams to ensure high-quality delivery and strong adoption of AI/ML products.

Responsibilities:

• Lead execution of customer-facing features such as Models, Weave, and other emerging products
• Partner closely with Product Management, Engineering, Design, and Go-to-Market teams to drive programs from concept through launch, ensuring high-quality delivery, predictable execution, and strong adoption
• Drive alignment and execution across highly technical, cross-functional teams to ensure the successful delivery of customer-facing AI/ML products used by ML researchers, engineers, and enterprise customers
• Translate product strategy into clear delivery plans, managing dependencies and risks, and ensuring launches deliver measurable customer and business impact
• Establish and run program mechanisms such as execution forums, launch readiness reviews, and release cadences
• Align product roadmaps, manage cross-team dependencies, and track delivery against commitments
• Provide program health visibility through status reporting, dashboards, and risk management

Requirements:

• Bachelor's degree in a technical field or equivalent practical experience
• 7+ years of experience managing large-scale, complex programs in SaaS, Cloud, or ML/AI environments
• Demonstrated experience delivering customer-facing product features and launches end-to-end
• Proven ability to lead cross-functional programs involving Product, Engineering, Design, and Go-to-Market teams
• Experience in establishing and running program mechanisms such as execution forums, launch readiness reviews, and release cadences
• Ability to align product roadmaps, manage cross-team dependencies, and track delivery against commitments
• Experience providing program health visibility through status reporting, dashboards, and risk management
• Strong written communication skills, including program documentation and executive-level updates
• Master's degree or advanced technical degree
• Familiarity with ML developer workflows, model lifecycle management, or AI tooling
• Experience influencing product and technical direction to align with long-term platform strategy
• Background in cross-organizational or portfolio-level program management
• Experience introducing or scaling program governance frameworks in high-growth environments