DigitalOcean
Pay
Pay found in job post
Base Pay Range $115,200.00/yr - $144,000.00/yr
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.
What You’ll Do
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‑conceptions, 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.
Key Metrics
Technical Growth Enablement – Design and deliver solutions that unlock new workloads, increase platform adoption, and expand account usage.
Reduction in Time-to-Value – Accelerate onboarding, POCs, and migrations for accounts.
POC & Migration Success Rate – Percentage of proofs‑of‑concept and migrations completed on time and meeting defined success criteria.
Product & Feature Advocacy – Measurable impact on product improvements through feedback, feature requests, and advocacy with Product and Engineering.
What You’ll Add To DigitalOcean
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.
Preferred
Contributions to open‑source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud‑native technologies.
Advanced knowledge of public cloud platforms (AWS, Azure, GCP), with experience designing solutions in multi‑cloud or hybrid cloud architectures.
Advanced AI/ML and GPU certifications from major providers such as NVIDIA and AMD.
Hands‑on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices.
Active participation in cloud‑native or developer communities, including presenting at meetups, conferences, or contributing to forums.
Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture, modernization strategies, or technical thought leadership.
Familiarity with partner ecosystems and integration strategies, working with ISVs, technology alliances, or channel partners to deliver joint solutions.
Compensation and Benefits
Base salary range: $115,200 – $144,000 per year.
This is a remote role.
Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be part of a cutting‑edge technology company with an upward trajectory, simplifying cloud and AI for builders.
We prioritize career development, offering training, conferences, and personal growth resources.
We care about your well‑being with competitive benefits, flexible time off, and employee assistance programs.
We reward our employees with competitive compensation, bonus potential, equity grants, and an 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 identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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Base Pay Range $115,200.00/yr - $144,000.00/yr
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.
What You’ll Do
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‑conceptions, 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.
Key Metrics
Technical Growth Enablement – Design and deliver solutions that unlock new workloads, increase platform adoption, and expand account usage.
Reduction in Time-to-Value – Accelerate onboarding, POCs, and migrations for accounts.
POC & Migration Success Rate – Percentage of proofs‑of‑concept and migrations completed on time and meeting defined success criteria.
Product & Feature Advocacy – Measurable impact on product improvements through feedback, feature requests, and advocacy with Product and Engineering.
What You’ll Add To DigitalOcean
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.
Preferred
Contributions to open‑source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud‑native technologies.
Advanced knowledge of public cloud platforms (AWS, Azure, GCP), with experience designing solutions in multi‑cloud or hybrid cloud architectures.
Advanced AI/ML and GPU certifications from major providers such as NVIDIA and AMD.
Hands‑on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices.
Active participation in cloud‑native or developer communities, including presenting at meetups, conferences, or contributing to forums.
Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture, modernization strategies, or technical thought leadership.
Familiarity with partner ecosystems and integration strategies, working with ISVs, technology alliances, or channel partners to deliver joint solutions.
Compensation and Benefits
Base salary range: $115,200 – $144,000 per year.
This is a remote role.
Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be part of a cutting‑edge technology company with an upward trajectory, simplifying cloud and AI for builders.
We prioritize career development, offering training, conferences, and personal growth resources.
We care about your well‑being with competitive benefits, flexible time off, and employee assistance programs.
We reward our employees with competitive compensation, bonus potential, equity grants, and an 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 identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
#J-18808-Ljbffr