Head of Customer Experience
Las Vegas, NV - USA
Department:
Job Summary
About TensorWave
Our mission is simple: deliver seamless secure reliable and resilient AI compute at scale. Weve 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
Were looking for a Head of Customer Experience to join our team during an exciting phase of this role youll be responsible for owning customer satisfaction retention and expansion working closely with cross-functional partners to support business objectives while upholding our standards for excellence collaboration and impact.
What Youll Do
Define and execute TensorWaves hypergrowth customer operations strategy
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 Engineering stakeholders
Act as voice of the customer within TensorWave 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 TensorWaves 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
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
Who You Are
Required Qualifications
Bachelor of Science in Computer Science Computer Engineering or a related technical field or equivalent practical experience
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 workload
Ability to engage credibly with customer ML engineers and infrastructure teams
Exceptional executive presence with ability to engage and influence C-level and VP-level engineering/technical stakeholders
Strategic thinker with strong business acumen analytical capabilities and data-driven decision-making approach
Outstanding communication and presentation skills with ability to inspire teams influence cross-functionally and represent TensorWave at industry events
Experience building scalable CS operations implementing health scoring systems and establishing data-driven customer engagement models
Track record of recruiting developing and retaining high-performing teams in competitive talent markets
Preferred Qualifications
MBA or advanced technical degree (MS in CS ML or related field)
Hands-on experience with GPU computing (AMD Instinct NVIDIA A100/H100) and understanding of AI/ML training and inference workloads
Familiarity with AMD ROCm ecosystem PyTorch TensorFlow HuggingFace and LLM training/fine-tuning workflows
Experience in neocloud alternative cloud providers or companies disrupting incumbent markets
Background in technical pre-sales solutions architecture or DevOps/ML engineering
Experience managing customer relationships during platform migrations or competitive displacement scenarios (especially NVIDIA to AMD transitions)
Strong network in AI/ML cloud infrastructure or HPC communities
Prior experience at high-growth startups that scaled from Series A to IPO or acquisition
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
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.
Required Experience:
Director