Technical Program Manager, ML Demand Planning

• Bridge multi-year machine-level demand plans into data center power and space constraints. Operationalize location strategies (zone-level and global aggregation) without disrupting downstream delivery pipelines.
• Model complex allocation scenarios across key business segments, reconciling compute supply responses with site-level power and operational limits.
• Author and publish standardized operational playbooks to document tagging methodologies, deployment ramps, and capacity management mechanics into permanent institutional standards.
• Partner with Core Systems Engineering, DeciML, Data Science, and Operations teams to review design documents, establish technical specs, and drive User Acceptance Testing (UAT).
• Advocate for the adoption of practical AI workflows and modern tooling across the broader infrastructure team, providing technical mentorship to scale operational capacity.

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Systems Engineering, Applied Mathematics, or equivalent practical experience.
• 8 years of experience in program management.
  
• 6 years of experience in technical program management, systems architecture, or software engineering leadership.

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Experience writing and reviewing code (Python, SQL, JSON) and leveraging AI prototyping tools (e.g., Google AI Studio) for logic spec definitions.
• Proven track record of re-engineering complex, multi-tab spreadsheet ecosystems into production software applications.

• Bachelor's degree in Computer Science, Electrical Engineering, Systems Engineering, Applied Mathematics, or equivalent practical experience.
• 8 years of experience in program management.
  
• 6 years of experience in technical program management, systems architecture, or software engineering leadership.