Serve as a technical partner to the success and sales teams.
Perform architecture reviews, proof of concepts, demos, and uncover customer technical needs.
Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
Advocate for customers by providing feedback to product teams and driving new feature development.
Offer personalized onboarding assistance and guide customers through their cloud journey.
Design and review architecture tailored to specific business use cases.
Identify opportunities for cost reduction and performance improvement.
Conduct technical consultation sessions, workshops, and training for customers.
Partner with Growth Account Managers and Customer Success Managers to create success plans.

Requirements

Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
Passionate about customer experience and leveraging AI/ML to solve complex business problems.
Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.

Benefits

Competitive salary
Reimbursement for relevant conferences, training, and education
Access to LinkedIn Learning's 10,000+ courses
Employee Assistance Program
Flexible time off policy

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

cloud infrastructureAI/ML frameworksTensorFlowPyTorchLLMsDeepSeekLlamaClaudeGPT-4GPU optimization

Soft Skills

customer experiencecommunicationtechnical consultationproblem-solvingadvocacycollaborationtrainingworkshop facilitationfeedback provisionpersonalized onboarding