Token-as-a-Service Technical Program Manager (AI)

TL;DR

Token-as-a-Service Technical Program Manager (AI): Leading the delivery of external compute capacity to serve hirify.global model workloads with an accent on infrastructure execution and systems readiness. Focus on transforming third-party infrastructure into usable tokens at scale, managing cross-functional programs, and optimizing production throughput.

Location: Based in San Francisco, CA (Hybrid: 3 days per week in office). Relocation assistance is available.

Salary: $342K – $555K

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• 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, and risks.
• Drive launch execution for new partner regions, clusters, and capacity expansions.
• Create operating mechanisms to measure deployed capacity versus usable token output.
• Identify and resolve bottlenecks preventing token generation, such as network constraints or hardware readiness.

Requirements

• 8+ years of Technical Program Management, Engineering Program Management, or Infrastructure Delivery experience.
• Experience leading large-scale technical programs involving cloud, data centers, 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.
• Must be based in or be able to relocate to San Francisco, CA.

Nice to have

• 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.

Culture & Benefits

• Relocation assistance is provided for eligible candidates.
• High-visibility role with direct impact on the ability to scale model training and inference globally.
• Work at the forefront of AI research and deployment within a fast-scaling environment.
• Commitment to diversity, equity, and inclusion as an equal opportunity employer.