Head of Customer Operations

At Tensor Wave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.

We're seeking a Head of Customer Operations to build and lead Tensor Wave's customer organization as we scale our AMD-powered AI infrastructure platform. You'll be responsible for driving customer satisfaction and retention across our customers which include AI startups, ML teams, and Fortune 500 companies. As a senior leader, you'll build world‑class teams, develop deep C‑suite relationships, and establish customer success as processes during our hypergrowth phase.

This is a senior leadership role with significant impact on company strategy and trajectory.

Lead Tensor Wave's customer success function from strategy through execution, building the teams, processes, and frameworks that ensure our customers achieve exceptional outcomes with Tensor Wave infrastructure. You'll serve as key operational sponsor for strategic accounts running large‑scale AI training and inference workloads, mentor and develop customer success leaders, and establish critical business processes which drive measurable business impact through customer advocacy.

• Define and execute customer operations strategy aligned with Tensor Wave's hypergrowth trajectory

• Build, mentor, and scale a high‑performing organization of technical customer success managers and operations professionals

• Design 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 CTO/VP Engineering stakeholders

• Act as voice of the customer within Tensor Wave, advocating for needs related to AMD GPU performance, ROCm software stack, platform features, and infrastructure scaling

• Proactively identify at‑risk enterprise accounts based on utilization patterns, support tickets, or competitive pressures and orchestrate recovery strategies

• Develop and lead customer advisory boards, executive forums, and industry working groups to strengthen Tensor Wave's position in the AI infrastructure ecosystem

• Recruit, develop, and retain top‑tier customer success talent with strong technical backgrounds in AI/ML infrastructure, GPU computing, and cloud platforms

• Design 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 NRR

• Foster a culture of technical excellence, customer‑centricity, data‑driven decision making, and operational rigor

• Deploy and optimize customer success platforms integrated with usage analytics, GPU telemetry, and business intelligence systems

• Partner with Sales on seamless handoffs, technical account planning, competitive displacement strategies (NVIDIA to AMD), and enterprise sales cycles

• Collaborate with Product and Engineering to translate customer feedback on AMD GPU performance, ROCm compatibility, platform features, and infrastructure needs into roadmap priorities

• Build strong partnerships with Sales, Product, Marketing, Engineering, Operations, and within the broader AMD ecosystem.

• Contribute to board and executive level reporting on customer metrics.

Essential Skills &

Qualifications:

• 7+ years of experience in customer success, enterprise account management, or solutions engineering roles in cloud infrastructure, GPU computing, or AI/ML platforms

• 5+ years of people management experience, including managing managers and building high‑performing teams from scratch

• Proven track record leading customer success at scale in high‑growth infrastructure or platform companies

• Strong technical fluency with cloud computing, GPU architecture, and AI/ML workloads—able to engage credibly with customer ML engineers and infrastructure teams

• Exceptional executive presence with ability…