Strategic Technical Account Manager (TAM)

The role

You will own the technical relationship with high-value customers and serve as a trusted technical advisor. You will provide guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean infrastructure.

What you will do

• Own the technical relationship with DigitalOcean's highest-value customers.
• Serve as the trusted technical advisor and executive-facing point of contact.
• Drive regular technical and strategic alignment sessions.
• Shape the customer's roadmap to maximize the value of DigitalOcean infrastructure.
• Engage with C-level and VP-level contacts.
• Deliver presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
• Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads.
• Assist customers with architectural planning, workload migration, performance tuning, and incident response.
• Collaborate with engineering and product teams to influence the product roadmap.
• Lead cross-functional account planning with Account Management, Product, and Engineering.

Required qualifications

• 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
• Experience working with large-scale organizations like AMD, Intel, or similar.
• Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.
• Proficient in at least one major cloud platform (AWS, GCP, Azure).
• Familiar with DigitalOcean or other developer-focused platforms.
• Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
• Programming/scripting in Python, Go, or similar.
• Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
• Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX.
• Hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
• Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).
• Ability to engage with and influence executive decision-makers.

Nice to have

• Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
• Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
• Background in startup or high-growth environments where agility and influence matter.
• Familiarity with DigitalOcean's developer ecosystem, API, and service portfolio.

Benefits

• Reimbursement for relevant conferences, training, and education, subject to company policy.
• Flexible time off.
• Local team meetups.
• Mental health and well being support.
• Equity compensation, which may include a new hire equity grant.
• Opportunity to participate in Employee Stock Purchase Program in participating countries.
• Annual bonus plan.

Before you apply

• You may apply to a maximum of 3 positions within any 180-day period.

About the company

DigitalOcean is a technology company that builds scalable cloud infrastructure. They aim to simplify cloud and AI for builders.