Strategic Technical Account Manager - (AI/ML)

· Remote

Location

Remote

Type

Full Time

Job Description

Strategic Technical Account Manager - (AI/ML)

Reposted 19 Hours Ago
Be an Early Applicant
Austin TX USA
In-Office
148K-185K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
As a Strategic Technical Account Manager you'll manage high-value customer relationships provide technical consultation on cloud architecture for AI/ML and drive customer success initiatives to enhance DigitalOcean's offerings.
Summary Generated by Built In

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset naturally like to think big and bold and are energized by the fast-paced environment of a true industry disruptor you’ll find your place here.  We value winning together—while learning having fun and making a profound difference for the dreamers and builders in the world. 

We are looking for a Strategic Technical Account Manager who is passionate about making an impact builds genuine relationships with senior stakeholders and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You’ll Do:

Strategic Relationship Management

  • 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.

Executive Presence & Influence

  • 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.

Technical Consultation & Innovation Support

  • 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.

Growth Retention & Advocacy

  • 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.
What You’ll Add to DigitalOcean:

Enterprise Customer Experience

  • 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.

Technical Depth

  • 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).

Executive Presence & Communication

  • 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.
Bonus Points
  • 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.
Compensation Range: 
  •  $174240 - $217800

*This is a remote role

#LI-Remote

Why You’ll Like Working for DigitalOcean
  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team you will be a Shark who thinks big bold and scrappy like an owner with a bias for action and a powerful sense of responsibility for customers products employees and decisions.
  • We prioritize career development. At DO you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences training and education. All employees have access to LinkedIn Learning's 10000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy to name a few. While the philosophy around our benefits is the same worldwide specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data relevant years of experience and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • 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.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Top Skills

Ansible
AWS
Azure
Ci/Cd
Digitalocean
Docker
GCP
Gitops
Go
Kubernetes
Linux
Nvidia Triton
Onnx
Python
PyTorch
TensorFlow
Terraform

What the Team is Saying

Am I A Good Fit?
beta
Expert contributor network
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Broomfield CO
1400 Employees
Year Founded: 2012

What We Do

DigitalOcean is the Inference Cloud — a full-stack production-ready cloud platform built to run AI applications with predictable performance sustainable economics and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features but fewer failure modes when operating AI at scale — combining minimal operational overhead predictable cost efficiency and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute managed inference software and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.

Why Work With Us

At DO we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you recognize your impact and give you what you need to thrive. If you have a growth mindset like to think big and bold and are energized by the fast-paced environment you'll find your place here.

Gallery

DigitalOcean Offices

Remote Workspace

Employees work remotely.

We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US we are mainly remote. In our APAC locations we have a hybrid in-office approach.

Typical time on-site:
Company Office Image
HQBroomfield CO
Company Office Image
Hyderabad Telangana
Company Office Image
Santa Clara CA
Learn more

Similar Jobs

DigitalOcean

Principal Software Engineer

Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
In-Office
Austin TX USA
1400 Employees
227K-284K Annually

DigitalOcean

Security Engineer

Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
In-Office
Austin TX USA
1400 Employees
170K-200K Annually

DigitalOcean

Customer Success Engineer - Database (2nd Shift)

Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
In-Office
Austin TX USA
1400 Employees
75K-94K Annually

DigitalOcean

Senior Data Center Engineer II

Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
In-Office
Austin TX USA
1400 Employees
128K-161K Annually
Apply Now

Date Posted

04/03/2026

Views

0

Back to Job Listings Add To Job List Company Profile View Company Reviews
Neutral
Subjectivity Score: 0

© 2026 Job Transparency. All rights reserved.