Technical Program Manager (AI)

TL;DR

Technical Program Manager (AI): Driving the execution of complex AI infrastructure initiatives and cross-functional programs with an accent on GPU cluster buildouts, distributed systems, and ML platform development. Focus on managing the end-to-end program lifecycle, translating technical tradeoffs into business outcomes, and ensuring scalability for exascale AI workloads.

Location: Must be based in Las Vegas, Nevada

Company

A mission-driven startup building seamless, secure, and reliable AI infrastructure at scale to empower builders and AI innovation.

What you will do

• Lead cross-functional programs spanning hardware deployment, software infrastructure, and ML platform development.
• Define program scope, objectives, and success metrics for initiatives like GPU cluster buildouts and inference optimization.
• Drive roadmap planning and prioritization, balancing customer needs with platform scalability.
• Manage timelines, dependencies, and resource allocation across multiple concurrent projects.
• Communicate program status, technical risks, and business implications to stakeholders and executive leadership.
• Conduct retrospectives to capture learnings and improve execution velocity.

Requirements

• Bachelor’s degree in a technical field or equivalent practical experience.
• 3+ years of technical program management experience in infrastructure, cloud, or ML/AI systems.
• Strong technical background with ability to engage in architecture discussions regarding distributed systems or GPU computing.
• Proven track record of delivering multi-quarter programs involving hardware and software.
• Experience with Jira and implementing workflows to match team processes.
• Must be able to work onsite in Las Vegas, Nevada.

Nice to have

• Experience with AMD GPU architectures or NVIDIA CUDA/Google TPUs.
• Background in MLOps platforms, model training pipelines, or AI workload orchestration.
• Familiarity with Kubernetes and distributed training frameworks like PyTorch or JAX.
• Prior experience in a high-growth startup environment.

Culture & Benefits

• 100% paid medical, dental, and vision insurance.
• 401(k) retirement plan.
• Flexible PTO and paid holidays.
• Parental leave and mental health benefits.
• Life and disability insurance.
• Opportunity to work on exascale AI infrastructure.