Act as a trusted technical advisor for your accounts and partners, with a focus on AI/ML and GPU-based workloads.
Collaborate with Account Managers, Technical Account Managers, and Partners to develop success plans aligned to business goals.
Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs.
Lead technical deep dives, workshops, proof-of-concepts, and executive briefings to accelerate adoption.
Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
Optimize AI/ML workloads using tools like CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8).
Educate customers to build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes, NFS, and databases.
Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
Troubleshoot complex technical challenges in partnership with Engineering, Support, and Product teams.
Provide customer feedback to shape product roadmaps and enhance platform capabilities.
Support workload expansion, retention, and long-term partnership growth through proactive technical engagement.
Requirements
5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience, with a track record in pre-sales and solution strategy.
Deep expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face.
Experience deploying and fine-tuning LLMs (DeepSeek, Llama, Claude, GPT-4) and GenAI models.
Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, TensorRT).
Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
Familiarity with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud-native practices.
Excellent communication skills, comfortable engaging and presenting to both engineers and executives.
Proven ability to lead complex technical engagements from discovery and solution design to post-deployment success.
Strong consultative approach, capable of identifying customer needs and crafting tailored cloud solutions that align with business objectives.
Tech Stack
Cloud
Distributed Systems
Docker
Kubernetes
Linux
NFS
PyTorch
Tensorflow
Terraform
Benefits
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 10,000+ 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.