Technical Program Manager

About TensorWaveOur 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 RoleWe’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 DoLead cross-functional programs spanning hardware deployment, software infrastructure, and ML platform development, ensuring alignment across engineering, product, and operations teamsDefine program scope, objectives, and success metrics for AI infrastructure initiatives, from GPU cluster buildouts to inference optimization projectsDrive cross-functional roadmap planning and prioritization, balancing immediate customer needs with long-term platform scalabilityManage program timelines, dependencies, and resource allocation across multiple concurrent initiativesTranslate complex technical tradeoffs into clear business implications for executive leadership and external partnersCommunicate program status, risks, and blockers through regular updates, maintaining transparency across the organizationIdentify and mitigate technical and operational risks before they impact delivery timelines or system performanceDrive postmortems and retrospectives to capture learnings and continuously improve execution velocityWho You AreRequired QualificationsBachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience3+ years of technical program management experience in infrastructure, cloud platforms, or ML/AI systemsStrong technical background with ability to engage in architecture discussions around distributed systems, GPU computing, or ML frameworksProven track record of delivering complex, multi-quarter programs involving hardware and software componentsExperience managing cross-functional initiatives with engineering, product, and business stakeholdersExperience with Jira and implementing Jira workflows to match team processesExcellent written and verbal communication skills, with ability to tailor messaging for technical and non-technical audiencesPreferred QualificationsExperience with AMD GPU architectures (ROCm, Instinct GPUs) or competitive platforms (NVIDIA CUDA, Google TPUs)Background in ML infrastructure, model training/inference pipelines, or MLOps platformsPrior experience at a high-growth startup or in a fast-paced infrastructure organizationHands-on technical experience as a software engineer or systems engineer earlier in careerFamiliarity with Kubernetes, distributed training frameworks (PyTorch, JAX), or AI workload orchestrationWhat we offerStock Options100% paid Medical, Dental, and Vision insurance for EmployeesCompany Health Savings Account Contributions100% paid Short Term and Long Term Disability Insurance for EmployeesLife and Voluntary Supplemental Insurance OptionsOther Insurance Options, such as Pet & Legal InsuranceVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness SupportFlexible Spending Account401(k)Employee Assistance ProgramFlexible PTOPaid HolidaysParental LeaveOther In-Office PerksEqual Employment OpportunityTensorWave 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 AccommodationsTensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.Employment EligibilityAll offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.Background ChecksWhere permitted by law, employment may be contingent upon the successful completion of a job-related background check.Data Privacy NoticeBy 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.