Technical Program Manager

Job Description

Job Description

Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.

About the role

TensorWave is seeking an experienced Technical Program Manager to drive the execution of complex AI infrastructure initiatives that power cutting-edge machine learning workloads.

In this role, you'll be the connective tissue between engineering, product, and business teams, ensuring our AMD-powered AI platform delivers exceptional performance and reliability at scale.

You'll own the end-to-end program lifecycle for critical infrastructure projects, from initial scoping through deployment and iteration, working at the intersection of hardware optimization, distributed systems, and ML operations.

Responsibilities

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

Required Experience

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 Experience

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 Bring

Mission driven company

Competitive Salary

Stock Options

100% paid Medical, Dental, and Vision insurance

Flexible PTO

Paid Holidays

401(k)

Parental Leave

Flexible Spending Account

Short Term Disability Insurance

Life and Voluntary Supplemental Insurance

Mental Health Benefits through Spring Health

We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future.

Tensorwave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, national origin, or veteran status.