Head of Technical Programme Management

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
We're looking for a Technical Program Manager to join our team during an exciting phase of growth. In this role, you'll be responsible for driving the execution of complex AI infrastructure initiatives , working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
Lead cross-functional programs spanning hardware deployment, software infrastructure, and ML platform development, ensuring alignment across engineering, product, and operations teams
Define program scope, objectives, and success metrics for AI infrastructure initiatives, from GPU cluster buildouts to inference optimization projects
Drive cross-functional roadmap planning and prioritization, balancing immediate customer needs with long-term platform scalability
Manage program timelines, dependencies, and resource allocation across multiple concurrent initiatives
Communicate program status, risks, and blockers through regular updates, maintaining transparency across the organization
Identify and mitigate technical and operational risks before they impact delivery timelines or system performance
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience

• 3+ years of technical program management experience in infrastructure, cloud platforms, or ML/AI systems
• Strong technical background with ability to engage in architecture discussions around distributed systems, GPU computing, or ML frameworks
• Proven track record of delivering complex, multi-quarter programs involving hardware and software components
• Experience managing cross-functional initiatives with engineering, product, and business stakeholders
• Experience with AMD GPU architectures (ROCm, Instinct GPUs) or competitive platforms (NVIDIA CUDA, Google TPUs)

Background in ML infrastructure, model training/inference pipelines, or MLOps platforms
Hands-on technical experience as a software engineer or systems engineer earlier in career
Familiarity with Kubernetes, distributed training frameworks (PyTorch, JAX), or AI workload orchestration
Stock Options

• 100% paid Medical, Dental, and Vision insurance for Employees
• Company Health Savings Account Contributions
• 100% paid Short Term and Long Term Disability Insurance for Employees
• Life and Voluntary Supplemental Insurance Options
• Other Insurance Options, such as Pet & Legal Insurance
• Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
• Flexible Spending Account
• Employee Assistance Program
• Flexible PTO
• Paid Holidays
• Other In-Office Perks

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