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 applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.