DigitalOcean
Strategic Technical Account Manager (TAM)
DigitalOcean, Denver, Colorado, United States, 80285
Strategic Technical Account Manager (TAM)
Join DigitalOcean to apply for the Strategic Technical Account Manager (TAM) role. Dive in and do the best work of your career at DigitalOcean. We are looking for someone who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.
What You’ll Do
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.
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, identifying 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.
What You’ll Add To DigitalOcean
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, 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 and GPU workloads on 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, with exceptional communication skills and the ability to translate complex technical topics into strategic business impact.
Bonus Points
Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
Experience with high‑performance computing, edge AI, or hybrid/multi‑cloud strategies.
Background in startup or high‑growth environments where agility and influence matter.
Familiarity with DigitalOcean’s developer ecosystem, API, and service portfolio.
Compensation Range
$147,800 - $184,800
This is a remote role.
Why You’ll Like Working for DigitalOcean
We innovate with purpose, simplifying cloud and AI so builders can spend more time creating software that changes the world.
We prioritize career development, providing resources for learning and growth.
We care about your well‑being with competitive benefits, flexible time off, and employee assistance programs.
We reward our employees with a competitive salary, bonus potential, and equity compensation.
DigitalOcean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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What You’ll Do
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.
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, identifying 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.
What You’ll Add To DigitalOcean
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, 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 and GPU workloads on 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, with exceptional communication skills and the ability to translate complex technical topics into strategic business impact.
Bonus Points
Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
Experience with high‑performance computing, edge AI, or hybrid/multi‑cloud strategies.
Background in startup or high‑growth environments where agility and influence matter.
Familiarity with DigitalOcean’s developer ecosystem, API, and service portfolio.
Compensation Range
$147,800 - $184,800
This is a remote role.
Why You’ll Like Working for DigitalOcean
We innovate with purpose, simplifying cloud and AI so builders can spend more time creating software that changes the world.
We prioritize career development, providing resources for learning and growth.
We care about your well‑being with competitive benefits, flexible time off, and employee assistance programs.
We reward our employees with a competitive salary, bonus potential, and equity compensation.
DigitalOcean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
#J-18808-Ljbffr