Research Program Manager, Research Infra and Training Frameworks (AI)

Location: San Francisco, CA, United States; onsite

Company

hirify.global is a research lab building open foundational models to make intelligence open and accessible for everyone to use, customize, and build on.

What you will do

• Own cross-functional programs spanning training infrastructure for pre-training, mid-training, and post-training.
• Define and manage the roadmap for training frameworks, including a multi-quarter training stack rewrite.
• Partner with infrastructure and research engineering leads to identify bottlenecks, set priorities, and connect infrastructure investments to research velocity.
• Build visibility into training run health to support fast, informed decisions by leadership and engineering teams.
• Create durable processes for cross-team handoffs, configuration management, checkpoint workflows, and other coordination-heavy activities.
• Translate technical complexity into status updates and decision frameworks for engineering leadership and executives; act as a first responder during incidents.

Requirements

• 7+ years of experience in technical program management, research operations, or infrastructure coordination, ideally in ML/AI or large-scale distributed systems environments.
• Deep technical knowledge of distributed training frameworks, GPU cluster architecture, scheduler behavior, networking, and storage systems sufficient to engage engineers, ask the right questions, and identify risks early.
• Experience operating effectively in high-ambiguity, fast-moving environments and creating structure where none exists.
• Track record managing complex, multi-team programs with competing priorities and hard deadlines, including clear tradeoff communication.
• Strong stakeholder management across deeply technical individual contributors and senior leadership.
• Ability to remain calm in crisis situations, prioritize under pressure, and drive issues through resolution.
• Interest in building Research Program Management practices from zero to one within a small, fast-moving team.
• Motivation to enable researchers and engineers to build capable open-weight AI systems.
• The role may require access to technology or source code subject to U.S. export control laws; employment may be conditioned on obtaining required government authorization.

Culture & Benefits

• Talent-dense team building the company and open foundational models from the ground up.
• Salary and equity designed to recognize and retain talent globally, with stock options for contributors.
• Comprehensive medical, dental, vision, and life insurance, plus an annual wellness allowance.
• Lunch and dinner provided daily in the office.
• 22 weeks of paid parental leave for birthing, non-birthing, adoptive, and surrogate parents.
• Unlimited paid time off in the U.S.; visa sponsorship and support for long-term immigration pathways where applicable; regular off-sites, happy hours, and team celebrations.

Hiring process

• Reasonable accommodations are available throughout the hiring process for disabilities, pregnancy-related limitations, or religious needs.
• Employment consideration includes applicable fair-chance requirements, including the San Francisco Fair Chance Ordinance and California Fair Chance Act.