Staff Technical Program Manager (GenAI Operations & Capacity Planning)

TL;DR

Staff Technical Program Manager (GenAI Operations): Driving GenAI operations and capacity planning for large-scale LLM and GPU-backed platforms with an accent on day-0 launches, operational readiness, and lifecycle management. Focus on building analytical models, optimizing GPU/LLM consumption, and ensuring governance for contractual and compliance requirements.

Location: Remote (USA)

Salary: $171,900–$240,675 USD

Company

hirify.global is a data and AI company enabling data teams to solve complex problems by building and operating the world's best data and AI infrastructure platform.

What you will do

• Plan and execute day-0 launches for new LLM models, ensuring production readiness across engineering, commercialization, go-to-market, legal, and cloud service partners.
• Partner with AI/ML and platform engineering teams to operationalize LLM onboarding, rollout, and lifecycle management.
• Own GPU and LLM capacity planning, forecasting, and allocation for GenAI workloads.
• Build and maintain SQL-driven analytical models and dashboards to forecast demand, track utilization, and surface capacity risks.
• Track and drive efficient consumption of GPU and LLM capacity, identifying underutilization, contention, and inefficiencies.
• Execute governance mechanisms to ensure GenAI capacity usage aligns with contractual, financial, and compliance requirements.

Requirements

• 10+ years of overall industry experience, including 7+ years in Technical Program Management.
• Experience leading cross-functional GenAI, AI/ML, or infrastructure programs from planning through launch and steady-state operations.
• Strong background in capacity planning, forecasting, and infrastructure analytics.
• Advanced SQL skills and hands-on experience building analytics, dashboards, and operational reporting.
• Hands-on experience with at least one major cloud provider: AWS, Azure, or GCP.
• Familiarity with agile methodologies and program management tools such as Jira.
• English: B2 required.

Nice to have

• Master’s degree or advanced technical degree.
• Experience operating LLM, GPU, or GenAI platforms in production environments.
• Background in cloud infrastructure, distributed systems, or platform engineering.

Culture & Benefits

• Comprehensive benefits and perks offered to meet employee needs.
• Commitment to fostering a diverse and inclusive culture where everyone can excel.
• Hiring practices meet equal employment opportunity standards.
• Candidates are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or other protected characteristics.