Technical Program Manager

**About TensorWave** 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. **About the Role** 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. **What You’ll Do** - 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 - Translate complex technical tradeoffs into clear business implications for executive leadership and external partners - 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 - Drive postmortems and retrospectives to capture learnings and continuously improve execution velocity **Who You Are** **Required Qualifications** - 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 Jira and implementing Jira workflows to match team processes - Excellent written and verbal communication skills, with ability to tailor messaging for technical and non-technical audiences **Preferred Qualifications** - 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 - Prior experience at a high-growth startup or in a fast-paced infrastructure organization - 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 **What We Offer** - 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 - 401(k) - Employee Assistance Program - Flexible PTO - Paid Holidays - Parental Leave - Other In-Office Perks **Equal Employment Opportunity** TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under app…