Technical Program Manager (Gen AI)

TL;DR

Technical Program Manager (Gen AI): Managing critical compute resources and driving technical initiatives for GenAI research teams with an accent on TPU fleet allocation, technical roadmap definition, and experiment execution. Focus on resolving resource conflicts, optimizing fleet usage, and leading complex programs from inception to completion within a fast-paced, rotating project environment.

Location: Hybrid role based in Mountain View, California, US or New York City, New York, US

Salary: $156,000–$229,000 + bonus + equity + benefits (US base salary)

Company

hirify.global is a leading AI research company focused on developing advanced artificial intelligence models and systems.

What you will do

• Lead complex technical initiatives and define tech roadmaps to align resource scaling with strategic research goals.
• Partner with Research Leads, engineers, and leadership to resolve resource conflicts and negotiate solutions for high-priority experiments.
• Execute technical configurations (CLs, MDB groups) for compute allotments and manage quota access as research needs evolve.
• Monitor fleet usage metrics to proactively identify limitations and coordinate rebalancing across rotating projects.
• Manage full project lifecycles, defining milestones, managing risks, and ensuring the smooth landing of operational initiatives.

Requirements

• Past experience managing technical resources (cloud compute, hardware fleets, or large-scale quotas).
• Demonstrated ability to quickly ramp up in new technical domains.
• Proven track record of driving projects from inception to landing, managing complexity, and delivering results.
• Excellent skills in collaborating with stakeholders (researchers, engineers, leadership) to manage conflicting priorities.
• Experience defining and executing technical roadmaps for complex systems.

Nice to have

• Experience with configuration languages (e.g., textproto) or version control systems (e.g., submitting CLs).
• Familiarity with the training lifecycle for large-scale AI/ML models.
• Experience designing new operational processes or trackers to improve team efficiency.

Culture & Benefits

• Value diversity of experience, knowledge, backgrounds, and perspectives.
• Committed to equal employment opportunity regardless of sex, race, religion, or belief.
• Offers bonus, equity, and benefits, with accommodations for disabilities or additional needs.