Technical Account Manager (AI/ML)

Location: Hybrid, Santa Clara Colocation, United States; willingness to travel up to 25% as required

Base salary: $128K–$154K; equity and bonus offered

Company

hirify.global develops storage and data management systems for enterprise, HPC, and AI/ML infrastructure.

What you will do

• Deploy, configure, and optimize hirify.global storage and data management systems in customer production environments.
• Partner with customer SRE and Operations teams to ensure performance, availability, and scalability.
• Collaborate with Sales and Sales Engineering to deliver customer solutions.
• Automate monitoring, deployment, and configuration using scripts and DevOps tooling.
• Troubleshoot complex issues across compute, storage, and networking layers, including on-site support during deployments, upgrades, and critical incidents.
• Maintain deployment documentation and operational procedures, lead technical reviews, and translate field requirements into product enhancements with Engineering and Product Management.

Requirements

• 8+ years of hands-on technical experience in systems engineering, deployment, or operations.
• Strong Linux administration experience.
• Experience deploying and managing large-scale HPC, AI, or ML infrastructure.
• Deep knowledge of parallel file systems, including Exascaler, Lustre, or GPFS.
• Experience configuring and troubleshooting InfiniBand and high-performance Ethernet networks.
• Proficiency with Python, Bash, Ansible, and other DevOps tools and scripting for automation and monitoring.
• Familiarity with containers, Kubernetes, Slurm, and hybrid/cloud environments.
• Experience developing and maintaining technical documentation and operational runbooks.
• Strong communication skills for direct interaction with customer, engineering, and executive teams; ability to work independently in globally distributed environments.
• Willingness to travel up to 25% as required and ability to lift up to 75 pounds when supporting hardware installations.

Nice to have

• Experience with AI/ML workflows, GPU-accelerated computing, or large-scale data pipelines.
• Familiarity with Prometheus, Grafana, and ELK observability stacks.
• Understanding of CI/CD and infrastructure-as-code methodologies.
• Project management or DevOps certification, such as PMP, CKA, or AWS Solutions Architect.

Culture & Benefits

• Hands-on collaboration with enterprise and AI/ML customers, SRE and Operations teams, Sales, Engineering, Product Management, and Support.
• Work in globally distributed environments.
• Equity and bonus offered in addition to base salary.