Job Details

Head Of Global Operations

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.

We're looking for a Head Of Global Operations to join our team during an exciting phase of growth. In this role, you'll be responsible for standardizing 24/7 monitoring and incident response operations across all TensorWave data centers, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

What You'll Do

• Build the Global Operations organization, including solidifying team structure, shift models, and staffing plans to achieve 24/7 coverage
• Recruit, hire, and develop Operations engineers and shift leads who can monitor complex GPU cloud infrastructure
• Establish a culture of operational excellence, clear communication, and continuous improvement
• Define career progression paths for Global Operations team members and invest in their technical development
• Formalize real-time monitoring process across all TensorWave data centers covering compute, networking, storage, power, and cooling systems
• Document improvements for incident detection, triage, and escalation processes with clear severity classifications and response SLAs
• Own L1 incident response including initial diagnosis, runbook execution, and coordination of engineering escalations
• Maintain and update status page communications during incidents, ensuring internal and external stakeholders receive timely updates
• Drive post-incident review participation and ensure GOC-identified lessons are fed back into runbooks and alerting
• Develop and maintain a comprehensive runbook library covering common failure modes, triage procedures, and escalation paths
• Define alert tuning strategies to minimize noise and ensure high-signal alerting across the infrastructure
• Establish GOC operational metrics and reporting, including MTTD, MTTR, alert-to-incident ratios, and escalation rates
• Collaborate with engineering teams to ensure new infrastructure deployments include monitoring and alerting coverage from day one
• Partner with Customer Experience to define the handoff between GOC real-time monitoring and customer-facing communications during incidents
• Work closely with Data Center Operations and Infrastructure Engineering to maintain escalation matrices and on-call schedules
• Coordinate with the PMO on change management processes to ensure the GOC is informed of planned maintenance and infrastructure changes
• Contribute to SLA management by ensuring monitoring and response capabilities align with customer contractual commitments

Who You Are

Required Qualifications

• 5+ years of experience working in a NOC or infrastructure operations center environment
• Demonstrated experience supporting 24/7 customer-facing operations, including shift scheduling and on-call management
• Hands-on experience with monitoring and observability platforms (e.g. Grafana, Prometheus, or similar)
• Strong understanding of incident management frameworks, including severity classification, escalation procedures, and post-incident review
• Experience writing and maintaining operational runbooks for infrastructure triage and remediation
• Working knowledge of networking fundamentals (TCP/IP, DNS, BGP, VLANs) and Linux system administration
• Proven ability to hire, train, and lead technical operations teams
• Excellent written and verbal communication skills, particularly in high-pressure incident scenarios
• Experience with ticketing and incident tracking systems (e.g., PagerDuty, ServiceNow, Jira, or equivalent)

Preferred Qualifications

• Experience building a GOC function from scratch at a cloud provider, managed services provider, or data center operator
• Familiarity with GPU infrastructure, HPC clusters, or AI/ML workloads
• Experience with Kubernetes and container orchestration platforms in a production environment
• Knowledge of data center physical infrastructure including power distribution, cooling, and cabling
• Experience operating across multiple geographically distributed data centers
• Background in cloud infrastructure providers (AWS, GCP, Azure, or neocloud/GPU cloud providers)
• ITIL certification or equivalent experience with IT service management frameworks

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.