Head of Customer Operations

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 roleWe’re seeking a Head of Customer Operations to build and lead TensorWave’s customer organization as we scale our AMD-powered AI infrastructure platform. You will own customer satisfaction, retention, and expansion across AI startups, ML teams, and Fortune 500 customers.This is a senior leadership role responsible for building high-performing customer teams, establishing scalable customer success processes, and serving as an executive sponsor for strategic accounts running large-scale training and inference workloads. You will partner closely with company leadership, develop strong C-suite relationships, and ensure customer success becomes a durable, measurable function as TensorWave grows.ResponsibilitiesDefine and execute TensorWave's hypergrowth customer operations strategyBuild, mentor, and scale a high-performing organization of technical customer success managers and operations professionalsDesign and optimize the customer journey from POC/evaluation through production deployment, scaling, renewal, and expansion.Lead quarterly business reviews and strategic planning sessions with customer Engineering stakeholdersAct as voice of the customer within TensorWave, advocating for needs related to AMD GPU performance, ROCm software stack, platform features, and infrastructure scalingProactively identify at-risk enterprise accounts based on utilization patterns, support tickets, or competitive pressures and orchestrate recovery strategiesDevelop and lead customer advisory boards, executive forums, and industry working groups to strengthen TensorWave's position in the AI infrastructure ecosystemRecruit, develop, and retain top-tier customer success talent with strong technical backgrounds in AI/ML infrastructure, GPU computing, and cloud platformsDesign scalable processes, runbooks, and best practices for managing enterprise customers with diverse workloads (LLM training, inference, fine-tuning, HPC)Implement robust performance management frameworks with clear metrics around customer health, GPU utilization, expansion pipeline, and NRRDeploy and optimize customer success platforms integrated with usage analytics, GPU telemetry, and business intelligence systemsPartner with Sales on seamless handoffs, technical account planning, competitive displacement strategies (NVIDIA to AMD), and enterprise sales cyclesCollaborate with Product and Engineering to translate customer feedback on AMD GPU performance, ROCm compatibility, platform features, and infrastructure needs into roadmap prioritiesBuild strong partnerships with Sales, Product, Marketing, Engineering, Operations, and within the broader AMD ecosystem.Contribute to board and executive level reporting on customer metrics.Required ExperienceBachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience7+ years of experience in customer success, enterprise account management, or solutions engineering roles in cloud infrastructure, GPU computing, or AI/ML platforms5+ years of people management experience, including managing managers and building high-performing teams from scratchProven track record leading customer success at scale in high-growth infrastructure or platform companiesStrong technical fluency with cloud computing, GPU architecture, and AI/ML workloadAbility to engage credibly with customer ML engineers and infrastructure teamsExceptional executive presence with ability to engage and influence C-level and VP-level engineering/technical stakeholdersStrategic thinker with strong business acumen, analytical capabilities, and data-driven decision-making approachOutstanding communication and presentation skills with ability to inspire teams, influence cross-functionally, and represent Tens ... (truncated, view full listing at source)