Technical Program Manager (AI)

TL;DR

Technical Program Manager (AI): Owning end-to-end program execution for API and serving infrastructure across multi-cloud environments with an accent on coordinating cross-functional engineering teams, cloud provider partnerships, and platform scalability. Focus on building robust program scaffolding, managing complex technical dependencies, and driving deployments from scoping through production.

Location: Hybrid role; must be based in or able to commute to San Francisco (CA), New York City (NY), or Seattle (WA) at least 25% of the time.

Salary: $365,000 - $435,000 USD

Company

hirify.global is an AI safety and research company building reliable, interpretable, and steerable AI systems.

What you will do

• Own end-to-end program execution for API operations across major cloud deployments.
• Drive shared platform foundations to ensure consistency across multiple cloud environments.
• Coordinate with cloud provider counterparts and internal teams to manage complex dependencies.
• Partner with engineering leadership to turn technical direction into clear, executable roadmaps.
• Build program scaffolding, including risk tracking, decision logs, and escalation paths.
• Resolve high-stakes sequencing conflicts between partner commitments and engineering priorities.

Requirements

• 10+ years of technical program management experience in infrastructure or platform domains.
• Deep technical fluency in cloud APIs, distributed systems, or platform engineering.
• Proven track record of managing programs across organizational boundaries without direct authority.
• Experience with multi-cloud or hybrid cloud environments and large-scale migrations.
• Must be authorized to work in the US (visa sponsorship available for qualified candidates).
• Exceptional communication skills for managing complex stakeholder relationships.

Nice to have

• Experience with production serving infrastructure, inference systems, or ML platform work.
• Background in scaling systems and organizations during rapid growth.
• History of moving between senior individual contributor and management roles.

Culture & Benefits

• Collaborative research-driven environment focused on long-term AI safety.
• Competitive compensation package with equity donation matching.
• Generous vacation and parental leave policies.
• Flexible working hours and high-quality office collaborative spaces.
• Direct involvement in high-impact, big-science AI research projects.