Strategic Technical Account Manager (TAM)

Linuxcareers; Singapore; On-site; SGD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Bonus potential

Equity grants

ESOP participation

Learning opportunities

Training reimbursement

LinkedIn Learning access

Job summary

DigitalOcean in Singapore is seeking a Strategic Technical Account Manager to serve as a trusted technical advisor to our enterprise customers. You will manage executive relationships, align technical roadmaps with business goals, and drive growth across a portfolio of Fortune 500-like clients.

You will design and scale AI/ML workloads, containerized deployments, and GPU-intensive architectures on DigitalOcean, lead QBRs/EBRs, and present cost-performance tradeoffs to C-level stakeholders.

Qualifications

• 7+ years in enterprise or strategic accounts in a customer-facing technical role.
• Deep cloud AI/ML architecture knowledge including GPU orchestration and deployment.
• Proficient in AWS, GCP, or Azure; familiarity with DigitalOcean.
• Strong Linux, networking, containers, and automation skills.
• Programming in Python or Go; knowledge of AI/ML stacks.

Responsibilities

• Own technical relationships with highest-value customers; executive-facing contact for VP/SVP stakeholders.
• Drive QBRs/EBRs and shape customer roadmaps to maximize DigitalOcean value.
• Provide guidance on AI/ML workloads, architecture planning, migrations, and tuning.
• Present boardroom-ready analyses on architecture choices, cost, and opportunities to C-levels.
• Identify workload expansion, cost optimization; voice of customer for product roadmap.

Skills

Enterprise TAM experience

Executive relationship management

Cloud AI/ML architecture

Linux proficiency

Python/Go programming

Tools

Docker

Kubernetes

Terraform

Ansible

Linux networking

Job description

Overview

DigitalOcean is seeking a Strategic Technical Account Manager to serve as the trusted technical advisor to the company's highest-value enterprise customers. The role combines executive relationship management, technical consultation on cloud infrastructure and AI/ML workloads, and strategic account growth across a portfolio of Fortune 500 companies and global technology leaders.

Responsibilities

• Own technical relationships with DigitalOcean's highest-value customers and serve as the executive-facing point of contact for VP- and SVP-level stakeholders
• Drive regular technical and strategic alignment sessions (QBRs, EBRs) and proactively shape customer roadmaps to maximize the value of DigitalOcean infrastructure
• Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean, including architectural planning, workload migration, and performance tuning
• Engage with C-level and VP-level contacts with confidence, delivering boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities
• Identify opportunities for workload expansion, cost optimization, and operational efficiency; act as the voice of the customer to influence product roadmap and go-to-market strategies

Qualifications

• 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent)
• 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 languages; understanding of AI/ML infrastructure stacks (PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton); experience optimizing GPU workloads on NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms

Nice to Have

• Cloud certifications such as AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, 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

Competitive salary based on market data, relevant years of experience, and skills; eligibility for bonus in addition to base salary (determined based on company and individual performance); equity compensation including equity grants upon hire and Employee Stock Purchase Program participation; benefits include Employee Assistance Program, local employee meetups, flexible time off policy, conference and training reimbursement, and access to LinkedIn Learning's 10,000+ courses