Token-as-a-Service Technical Program Manager

Key Responsibilities

• Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply.
• Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments.
• Build integrated plans across internal engineering teams and external partners with clear milestones, owners, risks, and critical paths.
• Drive launch execution for new partner regions, clusters, and capacity expansions.
• Create operating mechanisms that measure deployed capacity versus usable token output.
• Identify bottlenecks preventing token generation (network constraints, hardware readiness, software enablement, partner delays, etc.) and drive resolution.
• Coordinate with capacity planning and finance teams to prioritize the highest ROI capacity opportunities.
• Establish executive-level reporting on delivery status, risks, and token ramp forecasts.
• Improve repeatability of partner onboarding, technical integration, and scaling motions.
• Manage escalations across internal and external stakeholders during high-severity delivery issues.
• Translate ambiguous infrastructure constraints into clear execution plans.
• Help define the long-term operating model for Token-as-a-Service across Stargate and 3P ecosystems.

Qualifications

• 8+ years of Technical Program Management, Engineering Program Management, or Infrastructure Delivery experience.
• Experience leading large-scale technical programs involving cloud, data center, networking, hardware, or distributed systems.
• Strong understanding of compute infrastructure, clusters, networking, storage, and production systems.
• Proven ability to drive cross-functional execution across engineering, operations, finance, and external vendors.
• Experience managing executive stakeholders and communicating complex tradeoffs clearly.
• Strong analytical skills with ability to reason about utilization, throughput, capacity, and operational metrics.
• Comfortable operating in ambiguous, fast-scaling environments.
• Strong written and verbal communication skills.
• High ownership mentality with bias toward action.
• Experience working with external providers, strategic partners, or hyperscalers is highly preferred.

Preferred Skills

• Experience with GPU clusters, AI infrastructure, or large-scale model serving environments.
• Familiarity with token economics, inference capacity planning, or workload scheduling.
• Experience scaling global infrastructure through third-party providers.
• Background in systems engineering, networking, or hardware deployment programs.
• Experience building new operational models in high-growth environments.