[Remote] Strategic Technical Account Manager, AI/ML

Note: The job is a remote job and is open to candidates in USA. DigitalOcean is a leading cloud computing company focused on simplifying cloud and AI solutions. They are seeking a Strategic Technical Account Manager who will manage relationships with high-value customers, providing technical guidance and strategic alignment to maximize the value of DigitalOcean's infrastructure.

Responsibilities

• Own the technical relationship with DigitalOcean’s highest-value customers, including Fortune 500 companies and global technology leaders
• Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders
• Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer’s roadmap to maximize the value of DigitalOcean infrastructure
• Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns
• Engage with C-level and VP-level contacts with confidence, clarity, and authority
• Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities
• Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level
• Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean
• Assist customers with architectural planning, workload migration, performance tuning, and incident response
• Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs
• Own technical success across a portfolio of DigitalOcean’s largest and most strategic accounts
• Identify opportunities for workload expansion, cost optimization, and operational efficiency
• Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies
• Lead cross-functional account planning with Account Management, Product, and Engineering

Skills

• 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, including managing executive-level relationships and navigating matrixed stakeholders
• 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) and 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—especially relevant to AI/ML and MLOps use cases
• 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, with 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)
• Proven ability to engage with and influence executive decision-makers
• Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact
• Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions
• 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
• All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development
• Employee Assistance Program
• Local Employee Meetups
• Flexible time off policy
• Bonus in addition to base salary; bonus amounts are determined based on company and individual performance
• Equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program

Company Overview

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