--- title: Technical Account Manager at Ddn in Santa Clara, CA description: Ddn is hiring for the Technical Account Manager role in Santa Clara, CA. Pays $128K–$154K per year. See the full description and apply. type: job url: https://www.foundrole.com/jobs/technical-account-manager-at-ddn-01a16a45-545a-7e3e-8de6-472d61f921c7 date: 2026-11-15T01:26:44Z og_description: Join Ddn as Technical Account Manager in Santa Clara, CA. Pays $128K–$154K per year. Full-time, hybrid role. og_image: https://www.foundrole.com/og/4tvfdq.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Ddn | | **Location** | Santa Clara, CA (Hybrid) | | **Salary** | $165K/yr - $200K/yr | | **Type** | Full Time | | **Posted** | Oct 23, 2026 | ## Is this job real? **Ghost job check:** A- · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** Ddn sponsors H-1B visas. It filed 27 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for Ddn. ## Pay for similar jobs Most similar jobs pay $140,000 – $168,000 a year (median $160,000). ## 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. ## Skills - High-Performance Computing - IBM Spectrum Scale (Gpfs) - Project Management - AWS Certified Solutions Architect - Cloud Computing - Scripting - DevOps - Product Management - GPU Computing - Slurm Workload Manager - Infrastructure as Code (IaC) - Customer Success Management - InfiniBand - Ethernet - Grafana - Systems Engineering - Data Management - Software Deployment - Python - Elastic Stack (Elk) - System Monitoring - Automation - File Systems - AI Infrastructure - Lustre File System - Artificial Intelligence - Linux System Administration - Technical Account Management - Kubernetes - Continuous Improvement Process - Sales Engineering - Scalability - CI/CD - Ansible - Project Management Professional Certification - Bash - Runbook Development - Prometheus - Site Reliability Engineering - Technical Documentation - Strategic Roadmaps - Data Engineering - Communication - Machine Learning - Site Reliability Engineering (Sre) ## Related - [Sales & Business Development jobs](https://www.foundrole.com/careers/sales-and-business-development?utm_source=ai_markdown)- [Account Management jobs](https://www.foundrole.com/careers/sales-and-business-development/account-management?utm_source=ai_markdown)- [Account Manager jobs](https://www.foundrole.com/careers/sales-and-business-development/account-management/account-manager?utm_source=ai_markdown)- [Technical Account Manager jobs](https://www.foundrole.com/careers/sales-and-business-development/account-management/account-manager/technical-account-manager?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - 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