# Technical Account Manager at DDN

Technical Account Manager at DDN in Santa Clara Colocation. Hybrid, full-time, paying $128k–$154k. Posted October 23, 2026.

- Company: DDN
- Location: Santa Clara Colocation
- Workplace: Hybrid
- Job type: Full-time
- Pay: $128k–$154k
- Experience: 8+ years
- Posted: 2026-10-23
- Apply: https://jobs.ashbyhq.com/ddn/d3de87e7-c7a4-49a2-bea5-e02dadb4ac60/application
- Source: https://jobmagic.ai/jobs/technical-account-manager-ddn-4k4bje

## Requirements

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

## Description

**Overview**
DDN is seeking a **Technical Account Manager (TAM)** to work directly with strategic enterprise and AI/ML customers, deploying, integrating, and optimizing DDN systems in production environments.
As an TAM, you will serve as the hands-on technical lead responsible for ensuring the success, reliability, and performance of large-scale, globally distributed HPC and AI infrastructure. You’ll act as the bridge between DDN Engineering and customer Site Reliability/Operations teams, translating complex requirements into tested, automated, and maintainable solutions. You will also collaborate with sales and sales engineering teams to develop and optimize offerings to ensure customer success.

**Key Responsibilities**

- Deploy, configure, and optimize DDN storage and data management systems in customer environments.

- Partner with customer Site Reliability Engineering (SRE) and Operations teams to ensure production performance, availability, and scalability.

- Partner with DDN Sales and Sales Engineering teams to deliver solutions that add value to our customer environments

- Automate system monitoring, deployment, and configuration tasks using scripts and DevOps tooling.

- Troubleshoot and resolve complex issues across compute, storage, and networking layers.

- Develop and maintain deployment documentation, procedures, and best practices.

- Work with DDN Engineering and Product Management to translate field requirements into product enhancements (RFEs).

- Act as the on-site technical focal point during deployments, upgrades, and critical incidents.

- Lead technical meetings and operational reviews with customer and DDN stakeholders.

- Drive continuous improvement through feedback loops with Product, Support, and Engineering teams.

- Ensure alignment between deployed configurations and customer strategic roadmaps for HPC, AI, and ML workloads.

**Required Skills and Experience**

- 8+ years of hands-on technical experience in systems engineering, deployment, or operations.

- Strong Linux administration background.

- Proven experience deploying and managing large-scale HPC, AI, or ML infrastructure.

- Deep knowledge of parallel file systems (Exascaler, Lustre, or GPFS).

- Experience configuring and troubleshooting InfiniBand and high-performance Ethernet networks.

- Proficiency with DevOps tools and scripting (Python, Bash, Ansible, etc.) for automation and monitoring.

- Familiarity with containers, orchestration (Kubernetes, Slurm), and hybrid/cloud environments.

- Experience developing and maintaining technical documentation and operational runbooks.

- Strong communication skills with the ability to interface directly with customer, engineering and executive teams.

- Comfortable working independently in globally distributed environments.

- Willingness to travel as required (up to 25%).

- Ability to lift up to 75 pounds when supporting hardware installations.

**Preferred Qualifications**

- Experience with AI/ML workflows, GPU-accelerated computing, or large-scale data pipelines.

- Familiarity with observability stacks (Prometheus, Grafana, ELK).

- Understanding of CI/CD and infrastructure-as-code methodologies.

- Project management or DevOps certification (e.g., PMP, CKA, AWS Solutions Architect) is a plus.