We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What You’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a hybrid role

JR: 2026-7748

#LI-Hybrid

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a remote role

JR: 2026-7748

#LI-Remote

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a remote role

JR: 2026-7702

#LI-Remote

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a remote role

JR: 2026-7702

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a hybrid role

JR: 2026-7702

#LI-Hybrid

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a remote role

JR: 2026-7702

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a remote role

JR: 2026-7702

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7565

#LI-Remote

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs and SDKs
• Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.

Compensation Range: 

• $184,000 - $231,000

*This is a hybrid role

JR: 2026-7617

#LI-Hybrid

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs and SDKs
• Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.

Compensation Range: 

• $184,000 - $231,000

*This is a remote role

JR: 2026-7617

#LI-Remote

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7565

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• 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, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• 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 GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• 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.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7565

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7565

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• 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, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• 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 GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• 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.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• 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, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• 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 GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• 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.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a hybrid role

JR: 2026-7565

#LI-Hybrid

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

We want people who are passionate high-performing team players who can take on new challenges and go the extra mile.

This is a high-impact role at the center of DigitalOcean’s growth strategy. Reporting to the SVP of Corporate Development & Investor Relations, you will lead M&A execution end-to-end, develop business cases for acquisitions and new strategic initiatives, and contribute to investor-facing materials where deal or strategic context is needed. You will work directly with executive leadership and cross-functional partners across Product, Engineering, Finance, and GTM.

What You’ll Do:

• Develop business cases and financial analyses for potential acquisitions, strategic investments, and new organic initiatives, including scenario modeling for capital allocation decisions
• Lead end-to-end M&A execution from initial sourcing through closing in order to expand DigitalOcean’s product capabilities and market reach.
• Construct complex financial models and valuation analyses to provide data-driven recommendations on potential targets, divestitures, and strategic investments; including modeling funding scenarios and capital structure impact.
• Orchestrate cross-functional due diligence with Product, Engineering, and GTM teams to identify potential integration risks and validate synergy opportunities.
• Develop strategically-focused project plans that align departmental goals with long-term business objectives and multi-quarter value add.
• Monitor industry trends and competitor activity to identify and prioritize market opportunities that capitalize on emerging customer needs.
• Support investor relations and board materials where M&A, competitive, or strategic context adds value.
• Optimize internal M&A processes and workflows to increase the efficiency and scalability of the Corporate Development function.
• Guide and mentor junior team members formally and informally to build a high-performing, inclusive culture within the department.

What You’ll Add to DigitalOcean:

• Technical Breadth: A deep understanding of end-to-end M&A execution, expert-level financial modeling and valuation, and significant experience in market landscaping/strategic analysis within the technology or cloud sector.
• The "Human" Element: Advanced Executive Communication skills; the ability to translate complex deal structures into compelling business narratives for senior leadership and board members.
• Growth Mindset: A desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude.

Qualifications:

• 5-7+ years of investment banking and/or corporate development experience.
• Strong financial modeling, valuation, and analytical skills with the ability to quickly structure and solve complex problems.
• Experience modeling capital allocation scenarios, including debt financing, lease structures, and build-vs-buy frameworks.
• Proven ability to manage multiple workstreams independently in a fast-paced environment.
• Excellent written and verbal communication skills, including the ability to translate complex deal structures into clear narratives for senior leadership and board audiences.

Preferred Qualifications

• Experience in infrastructure software, cloud/datacenter, AI, or capital-intensive technology businesses.
• Familiarity with public company dynamics, including investor communications and earnings processes.

Compensation Range: 

• $138,400.00 - $173,000

*This is a remote role

JR: 2026-7613

#LI-Remote

We want people who are passionate about helping our customers and partners realize the benefits of DigitalOcean’s cloud infrastructure.

DigitalOcean is at a pivotal moment where the intersection of high-performance hardware and cloud accessibility is defining the next decade of innovation. We aren’t just building a cloud; we are building a gateway for the next generation of startups to harness the power of AI and intensive computing. This is your chance to be the architect of our most strategic alliances, sitting at the heart of the Silicon Valley ecosystem to bridge the gap between world-class silicon providers and the builders who use them.

We are looking for a Strategic Relationship Builder to act as our primary envoy to the world’s leading AI-focused System Integrators (SIs) aligned with mid-market and AI Native companies. Reporting to the VP, Channel Partnerships, you will be the lead navigator in embedding DigitalOcean into strategic partnership programs. Your mission is to ensure that as the world scales its data center needs, DigitalOcean is the partner of choice.

What You’ll Do

• Architect strategic alliances with key system integrators, MSPs and resellers partners to ensure DigitalOcean is deeply integrated into their go-to-market ecosystems.
• Navigate complex organizational structures within partner companies to identify and influence the right decision-makers for long-term program placement.
• Translate high-level cloud infrastructure trends into actionable partnership strategies that solve real-world data center and scalability challenges.
• Lead cross-functional workstreams between internal product teams and external partner organizations to deliver co-branded value and technical synergy.
• Drive the execution of partnership milestones by breaking down multi-quarter goals into clear, actionable deliverables that provide mutual value to all stakeholders.
• Collaborate with senior leadership to provide insights on industry trends, ensuring our partnership roadmap stays ahead of market shifts in the data center space.
• Mentor peers and internal teams on partnership best practices, fostering a culture of collaborative excellence across the organization.

What You’ll Add to DigitalOcean

• Technical Breadth: You bring a deep understanding of the cloud and infrastructure industry, specifically regarding data center operations. You have a proven track record of building and managing partnerships with strategic System Integrators, MSPs and Resellers partners.
• The "Human" Element: You are an expert in Relational Intelligence—you can speak the language of engineers and executives alike, building trust and psychological safety across organizational boundaries.
• Growth Mindset: You possess a natural desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude that thrives in a high-performance environment.

Compensation Range: 

• Base $136,000 - $170,000 / OTE target $180,000 - $226,000

*This is a remote role

JR: 2026-7632

#LI-Remote

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs and SDKs
• Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.

Compensation Range: 

• $184,000 - $231,000

*This is a remote role

JR: 2026-7617

#LI-Remote

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs and SDKs
• Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.

Compensation Range: 

• $184,000 - $231,000

*This is a remote role

JR: 2026-7617

#LI-Remote

We want people who are passionate about helping our customers and partners realize the benefits of DigitalOcean’s cloud infrastructure.

DigitalOcean is at a pivotal moment where the intersection of high-performance hardware and cloud accessibility is defining the next decade of innovation. We aren’t just building a cloud; we are building a gateway for the next generation of startups to harness the power of AI and intensive computing. This is your chance to be the architect of our most strategic alliances, sitting at the heart of the Silicon Valley ecosystem to bridge the gap between world-class silicon providers and the builders who use them.

We are looking for a Strategic Relationship Builder to act as our primary envoy to the world’s leading AI-focused System Integrators (SIs) aligned with mid-market and AI Native companies. Reporting to the VP, Channel Partnerships, you will be the lead navigator in embedding DigitalOcean into strategic partnership programs. Your mission is to ensure that as the world scales its data center needs, DigitalOcean is the partner of choice.

What You’ll Do

• Architect strategic alliances with key system integrators, MSPs and resellers partners to ensure DigitalOcean is deeply integrated into their go-to-market ecosystems.
• Navigate complex organizational structures within partner companies to identify and influence the right decision-makers for long-term program placement.
• Translate high-level cloud infrastructure trends into actionable partnership strategies that solve real-world data center and scalability challenges.
• Lead cross-functional workstreams between internal product teams and external partner organizations to deliver co-branded value and technical synergy.
• Drive the execution of partnership milestones by breaking down multi-quarter goals into clear, actionable deliverables that provide mutual value to all stakeholders.
• Collaborate with senior leadership to provide insights on industry trends, ensuring our partnership roadmap stays ahead of market shifts in the data center space.
• Mentor peers and internal teams on partnership best practices, fostering a culture of collaborative excellence across the organization.

What You’ll Add to DigitalOcean

• Technical Breadth: You bring a deep understanding of the cloud and infrastructure industry, specifically regarding data center operations. You have a proven track record of building and managing partnerships with strategic System Integrators, MSPs and Resellers partners.
• The "Human" Element: You are an expert in Relational Intelligence—you can speak the language of engineers and executives alike, building trust and psychological safety across organizational boundaries.
• Growth Mindset: You possess a natural desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude that thrives in a high-performance environment.

Compensation Range: 

• Base $136,000 - $170,000 / OTE target $180,000 - $226,000

*This is a remote role

JR: 2026-7632

#LI-Remote

We want people who are passionate about helping our customers and partners realize the benefits of DigitalOcean’s cloud infrastructure.

DigitalOcean is at a pivotal moment where the intersection of high-performance hardware and cloud accessibility is defining the next decade of innovation. We aren’t just building a cloud; we are building a gateway for the next generation of startups to harness the power of AI and intensive computing. This is your chance to be the architect of our most strategic alliances, sitting at the heart of the Silicon Valley ecosystem to bridge the gap between world-class silicon providers and the builders who use them.

We are looking for a Strategic Relationship Builder to act as our primary envoy to the world’s leading AI-focused System Integrators (SIs) aligned with mid-market and AI Native companies. Reporting to the VP, Channel Partnerships, you will be the lead navigator in embedding DigitalOcean into strategic partnership programs. Your mission is to ensure that as the world scales its data center needs, DigitalOcean is the partner of choice.

What You’ll Do

• Architect strategic alliances with key system integrators, MSPs and resellers partners to ensure DigitalOcean is deeply integrated into their go-to-market ecosystems.
• Navigate complex organizational structures within partner companies to identify and influence the right decision-makers for long-term program placement.
• Translate high-level cloud infrastructure trends into actionable partnership strategies that solve real-world data center and scalability challenges.
• Lead cross-functional workstreams between internal product teams and external partner organizations to deliver co-branded value and technical synergy.
• Drive the execution of partnership milestones by breaking down multi-quarter goals into clear, actionable deliverables that provide mutual value to all stakeholders.
• Collaborate with senior leadership to provide insights on industry trends, ensuring our partnership roadmap stays ahead of market shifts in the data center space.
• Mentor peers and internal teams on partnership best practices, fostering a culture of collaborative excellence across the organization.

What You’ll Add to DigitalOcean

• Technical Breadth: You bring a deep understanding of the cloud and infrastructure industry, specifically regarding data center operations. You have a proven track record of building and managing partnerships with strategic System Integrators, MSPs and Resellers partners.
• The "Human" Element: You are an expert in Relational Intelligence—you can speak the language of engineers and executives alike, building trust and psychological safety across organizational boundaries.
• Growth Mindset: You possess a natural desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude that thrives in a high-performance environment.

Compensation Range: 

• Base $136,000 - $170,000 / OTE target $180,000 - $226,000

*This is a remote role

JR: 2026-7632

#LI-Remote

We want people who are passionate about helping our customers and partners realize the benefits of DigitalOcean’s cloud infrastructure.

DigitalOcean is at a pivotal moment where the intersection of high-performance hardware and cloud accessibility is defining the next decade of innovation. We aren’t just building a cloud; we are building a gateway for the next generation of startups to harness the power of AI and intensive computing. This is your chance to be the architect of our most strategic alliances, sitting at the heart of the Silicon Valley ecosystem to bridge the gap between world-class silicon providers and the builders who use them.

We are looking for a Strategic Relationship Builder to act as our primary envoy to the world’s leading AI-focused System Integrators (SIs) aligned with mid-market and AI Native companies. Reporting to the VP, Channel Partnerships, you will be the lead navigator in embedding DigitalOcean into strategic partnership programs. Your mission is to ensure that as the world scales its data center needs, DigitalOcean is the partner of choice.

What You’ll Do

• Architect strategic alliances with key system integrators, MSPs and resellers partners to ensure DigitalOcean is deeply integrated into their go-to-market ecosystems.
• Navigate complex organizational structures within partner companies to identify and influence the right decision-makers for long-term program placement.
• Translate high-level cloud infrastructure trends into actionable partnership strategies that solve real-world data center and scalability challenges.
• Lead cross-functional workstreams between internal product teams and external partner organizations to deliver co-branded value and technical synergy.
• Drive the execution of partnership milestones by breaking down multi-quarter goals into clear, actionable deliverables that provide mutual value to all stakeholders.
• Collaborate with senior leadership to provide insights on industry trends, ensuring our partnership roadmap stays ahead of market shifts in the data center space.
• Mentor peers and internal teams on partnership best practices, fostering a culture of collaborative excellence across the organization.

What You’ll Add to DigitalOcean

• Technical Breadth: You bring a deep understanding of the cloud and infrastructure industry, specifically regarding data center operations. You have a proven track record of building and managing partnerships with strategic System Integrators, MSPs and Resellers partners.
• The "Human" Element: You are an expert in Relational Intelligence—you can speak the language of engineers and executives alike, building trust and psychological safety across organizational boundaries.
• Growth Mindset: You possess a natural desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude that thrives in a high-performance environment.

Compensation Range: 

• Base $136,000 - $170,000 / OTE target $180,000 - $226,000

*This is a remote role

JR: 2026-7632

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• 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, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• 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 GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• 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.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• 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, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• 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 GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• 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.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We want people who are passionate about helping our customers and partners realize the benefits of DigitalOcean’s cloud infrastructure.

DigitalOcean is at a pivotal moment where the intersection of high-performance hardware and cloud accessibility is defining the next decade of innovation. We aren’t just building a cloud; we are building a gateway for the next generation of startups to harness the power of AI and intensive computing. This is your chance to be the architect of our most strategic alliances, sitting at the heart of the Silicon Valley ecosystem to bridge the gap between world-class silicon providers and the builders who use them.

We are looking for a Strategic Relationship Builder to act as our primary envoy to the world’s leading AI-focused System Integrators (SIs) aligned with mid-market and AI Native companies. Reporting to the VP, Channel Partnerships, you will be the lead navigator in embedding DigitalOcean into strategic partnership programs. Your mission is to ensure that as the world scales its data center needs, DigitalOcean is the partner of choice.

What You’ll Do

• Architect strategic alliances with key system integrators, MSPs and resellers partners to ensure DigitalOcean is deeply integrated into their go-to-market ecosystems.
• Navigate complex organizational structures within partner companies to identify and influence the right decision-makers for long-term program placement.
• Translate high-level cloud infrastructure trends into actionable partnership strategies that solve real-world data center and scalability challenges.
• Lead cross-functional workstreams between internal product teams and external partner organizations to deliver co-branded value and technical synergy.
• Drive the execution of partnership milestones by breaking down multi-quarter goals into clear, actionable deliverables that provide mutual value to all stakeholders.
• Collaborate with senior leadership to provide insights on industry trends, ensuring our partnership roadmap stays ahead of market shifts in the data center space.
• Mentor peers and internal teams on partnership best practices, fostering a culture of collaborative excellence across the organization.

What You’ll Add to DigitalOcean

• Technical Breadth: You bring a deep understanding of the cloud and infrastructure industry, specifically regarding data center operations. You have a proven track record of building and managing partnerships with strategic System Integrators, MSPs and Resellers partners.
• The "Human" Element: You are an expert in Relational Intelligence—you can speak the language of engineers and executives alike, building trust and psychological safety across organizational boundaries.
• Growth Mindset: You possess a natural desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude that thrives in a high-performance environment.

Compensation Range: 

• Base $136,000 - $170,000 / OTE target $180,000 - $226,000

*This is a remote role

JR: 2026-7632

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra Machines Design, you will act as the team lead for sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act as technical lead for the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Liase with DCOPS teams to develop, deliver, and support hardware-related runbooks
• Liase with vendor support teams regarding hardware and firmware issues and drive issues to resolution Identify gaps in tooling and operational processes and engage appropriate peer teams to close gaps
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operationsCoordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASHExtra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders An insatiable passion for constant improvement

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7601

#LI-Remote

We want people who are passionate, high performing team players who can take new challenges and go the extra mile.

The Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed and that our financial results are properly accounted for. We provide financial analysis to determine key operational decisions within a rapidly growing organization. We only hire the best to these teams, and your work will have a huge impact on the future success of this rapidly growing company.

We are seeking a high-caliber finance professional to serve as a key architect of our corporate financial strategy. This role requires a unique blend of technical modeling mastery and strategic foresight, as you will directly own the company’s cash forecasting, equity dilution models, and long-range planning integration. The ideal candidate is a "three-statement expert" who thrives in a high-growth, fluid environment and possesses the analytical rigor to manage complex balance sheet and liquidity workstreams. You must be a proactive problem-solver, capable of translating intricate financial data into clear, actionable insights. Beyond maintaining the status quo, you will be a champion for scaling our FP&A processes and leveraging tools like Adaptive Insights to enhance the sophistication of our global finance function.

What You’ll Be Doing:

• Own the cash forecast during each monthly forecast cycle, including the annual planning cycle
• Maintain and evolve the WASO (Weighted Average Shares Outstanding) and EPS (Earnings per Share) model, including equity roll-forward schedules and dilution forecasting 
• Architect and update the Balance Sheet forecast, proactively monitoring leverage ratios and capital structure health
• Analyze interest expense trends and the impact of debt instruments on the overall P&L and cash position.
• Manage the Long-Range Planning (LRP) model, translating multi-year strategic initiatives into a cohesive financial outlook for various scenario analyses
• Act as the primary FP&A lead for Treasury support, providing data-driven insights for debt servicing, interest expense forecasting, and overall cash management.
• Support development of integrated modeling for CapEx and equipment lease forecasts in close collaboration with the COGS and Operations teams 
• Drive accountability for cash performance metrics, specifically owning the tracking and reporting of Adjusted FCF, Unlevered FCF, and Cash Generated metrics.
• Drive end-of-quarter Cash Flow analysis with Accounts Payable and Accounting to ensure accuracy, control over final pay runs, and weekly liquidity management. 
• Provide monthly, quarterly, and annual support for internal reporting and external earnings requirements related to equity, debt, and cash flow movements.
• Support the advancement of FP&A processes, Adaptive Insights planning system and related IT tools, and financial modeling to enhance the overall finance function
• Work closely with the accounting team to ensure timely and accurate financial closes on a monthly basis
• Prepare presentations and key reporting to the Board of Directors and Executive Team
• Develop business cases and analysis to inform and support business and financial decisions
• Collaborate cross functionally to understand the financial impact of, and help prioritize, new business initiatives and investments

What We’ll Expect From You:

• Strong analytical, financial modeling, and problem-solving skills with the ability to quickly grasp and apply analytical concepts
• 2-3 years of investment banking experience (Tier 1 banks preferred)
• Foundational knowledge of GAAP, specifically as it relates to Cash Flow Statement classification
• Demonstrated ability to consistently work within fixed timeframes and meet deadlines
• Proactive communicator with excellent verbal and written skills
• Maintain the highest standards of accuracy and precision; detail-oriented, highly-organized and resourceful
• Must have strong work ethic, team mentality, positive attitude, be highly-driven, self-motivated, have excellent business partnering skills and demonstrate internal stakeholder orientation
• Passion for technology and genuine desire to make meaningful contributions on a team with big aspirations
• Proactive, self-directed operator who demonstrates strong ownership mindset; comfortable working autonomously to drive initiatives and deliver results.
• Proficiency in Google Sheets and Microsoft Excel
• Bachelor’s degree required
• Final candidates will be required to complete a case study analysis during the final rounds.

Nice to have:

• Proficiency in, or an aptitude to learn, Adaptive Insights including building models and reports
• Experience in financial forecasting, planning and analysis and operational budget management, preferably in a business partner facing role
• Experience in other tools/programming languages (Looker, SQL, VBA, Netsuite, Oracle, etc.)
• MBA is a plus

Compensation Range: 

• $93,000 - $140,000

*This is a remote role

JR: 2026-7580

#LI-Remote

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: 

• $174,240 - $217,800

*This is a remote role

#LI-Remote

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a remote role

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra Machines Design, you will act as the team lead for sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act as technical lead for the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Liase with DCOPS teams to develop, deliver, and support hardware-related runbooks
• Liase with vendor support teams regarding hardware and firmware issues and drive issues to resolution Identify gaps in tooling and operational processes and engage appropriate peer teams to close gaps
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operationsCoordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASHExtra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders An insatiable passion for constant improvement

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7601

#LI-Remote

We want people who are passionate, high performing team players who can take new challenges and go the extra mile.

The Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed and that our financial results are properly accounted for. We provide financial analysis to determine key operational decisions within a rapidly growing organization. We only hire the best to these teams, and your work will have a huge impact on the future success of this rapidly growing company.

We are seeking a high-caliber finance professional to serve as a key architect of our corporate financial strategy. This role requires a unique blend of technical modeling mastery and strategic foresight, as you will directly own the company’s cash forecasting, equity dilution models, and long-range planning integration. The ideal candidate is a "three-statement expert" who thrives in a high-growth, fluid environment and possesses the analytical rigor to manage complex balance sheet and liquidity workstreams. You must be a proactive problem-solver, capable of translating intricate financial data into clear, actionable insights. Beyond maintaining the status quo, you will be a champion for scaling our FP&A processes and leveraging tools like Adaptive Insights to enhance the sophistication of our global finance function.

What You’ll Be Doing:

• Own the cash forecast during each monthly forecast cycle, including the annual planning cycle
• Maintain and evolve the WASO (Weighted Average Shares Outstanding) and EPS (Earnings per Share) model, including equity roll-forward schedules and dilution forecasting 
• Architect and update the Balance Sheet forecast, proactively monitoring leverage ratios and capital structure health
• Analyze interest expense trends and the impact of debt instruments on the overall P&L and cash position.
• Manage the Long-Range Planning (LRP) model, translating multi-year strategic initiatives into a cohesive financial outlook for various scenario analyses
• Act as the primary FP&A lead for Treasury support, providing data-driven insights for debt servicing, interest expense forecasting, and overall cash management.
• Support development of integrated modeling for CapEx and equipment lease forecasts in close collaboration with the COGS and Operations teams 
• Drive accountability for cash performance metrics, specifically owning the tracking and reporting of Adjusted FCF, Unlevered FCF, and Cash Generated metrics.
• Drive end-of-quarter Cash Flow analysis with Accounts Payable and Accounting to ensure accuracy, control over final pay runs, and weekly liquidity management. 
• Provide monthly, quarterly, and annual support for internal reporting and external earnings requirements related to equity, debt, and cash flow movements.
• Support the advancement of FP&A processes, Adaptive Insights planning system and related IT tools, and financial modeling to enhance the overall finance function
• Work closely with the accounting team to ensure timely and accurate financial closes on a monthly basis
• Prepare presentations and key reporting to the Board of Directors and Executive Team
• Develop business cases and analysis to inform and support business and financial decisions
• Collaborate cross functionally to understand the financial impact of, and help prioritize, new business initiatives and investments

What We’ll Expect From You:

• Strong analytical, financial modeling, and problem-solving skills with the ability to quickly grasp and apply analytical concepts
• 2-3 years of investment banking experience (Tier 1 banks preferred)
• Foundational knowledge of GAAP, specifically as it relates to Cash Flow Statement classification
• Demonstrated ability to consistently work within fixed timeframes and meet deadlines
• Proactive communicator with excellent verbal and written skills
• Maintain the highest standards of accuracy and precision; detail-oriented, highly-organized and resourceful
• Must have strong work ethic, team mentality, positive attitude, be highly-driven, self-motivated, have excellent business partnering skills and demonstrate internal stakeholder orientation
• Passion for technology and genuine desire to make meaningful contributions on a team with big aspirations
• Proactive, self-directed operator who demonstrates strong ownership mindset; comfortable working autonomously to drive initiatives and deliver results.
• Proficiency in Google Sheets and Microsoft Excel
• Bachelor’s degree required
• Final candidates will be required to complete a case study analysis during the final rounds.

Nice to have:

• Proficiency in, or an aptitude to learn, Adaptive Insights including building models and reports
• Experience in financial forecasting, planning and analysis and operational budget management, preferably in a business partner facing role
• Experience in other tools/programming languages (Looker, SQL, VBA, Netsuite, Oracle, etc.)
• MBA is a plus

Compensation Range: 

• $93,000 - $140,000

*This is a remote role

JR: 2026-7580

#LI-Remote

We want people who are passionate, high performing team players who can take new challenges and go the extra mile.

The Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed and that our financial results are properly accounted for. We provide financial analysis to determine key operational decisions within a rapidly growing organization. We only hire the best to these teams, and your work will have a huge impact on the future success of this rapidly growing company.

We are seeking a high-caliber finance professional to serve as a key architect of our corporate financial strategy. This role requires a unique blend of technical modeling mastery and strategic foresight, as you will directly own the company’s cash forecasting, equity dilution models, and long-range planning integration. The ideal candidate is a "three-statement expert" who thrives in a high-growth, fluid environment and possesses the analytical rigor to manage complex balance sheet and liquidity workstreams. You must be a proactive problem-solver, capable of translating intricate financial data into clear, actionable insights. Beyond maintaining the status quo, you will be a champion for scaling our FP&A processes and leveraging tools like Adaptive Insights to enhance the sophistication of our global finance function.

What You’ll Be Doing:

• Own the cash forecast during each monthly forecast cycle, including the annual planning cycle
• Maintain and evolve the WASO (Weighted Average Shares Outstanding) and EPS (Earnings per Share) model, including equity roll-forward schedules and dilution forecasting 
• Architect and update the Balance Sheet forecast, proactively monitoring leverage ratios and capital structure health
• Analyze interest expense trends and the impact of debt instruments on the overall P&L and cash position.
• Manage the Long-Range Planning (LRP) model, translating multi-year strategic initiatives into a cohesive financial outlook for various scenario analyses
• Act as the primary FP&A lead for Treasury support, providing data-driven insights for debt servicing, interest expense forecasting, and overall cash management.
• Support development of integrated modeling for CapEx and equipment lease forecasts in close collaboration with the COGS and Operations teams 
• Drive accountability for cash performance metrics, specifically owning the tracking and reporting of Adjusted FCF, Unlevered FCF, and Cash Generated metrics.
• Drive end-of-quarter Cash Flow analysis with Accounts Payable and Accounting to ensure accuracy, control over final pay runs, and weekly liquidity management. 
• Provide monthly, quarterly, and annual support for internal reporting and external earnings requirements related to equity, debt, and cash flow movements.
• Support the advancement of FP&A processes, Adaptive Insights planning system and related IT tools, and financial modeling to enhance the overall finance function
• Work closely with the accounting team to ensure timely and accurate financial closes on a monthly basis
• Prepare presentations and key reporting to the Board of Directors and Executive Team
• Develop business cases and analysis to inform and support business and financial decisions
• Collaborate cross functionally to understand the financial impact of, and help prioritize, new business initiatives and investments

What We’ll Expect From You:

• Strong analytical, financial modeling, and problem-solving skills with the ability to quickly grasp and apply analytical concepts
• 2-3 years of investment banking experience (Tier 1 banks preferred)
• Foundational knowledge of GAAP, specifically as it relates to Cash Flow Statement classification
• Demonstrated ability to consistently work within fixed timeframes and meet deadlines
• Proactive communicator with excellent verbal and written skills
• Maintain the highest standards of accuracy and precision; detail-oriented, highly-organized and resourceful
• Must have strong work ethic, team mentality, positive attitude, be highly-driven, self-motivated, have excellent business partnering skills and demonstrate internal stakeholder orientation
• Passion for technology and genuine desire to make meaningful contributions on a team with big aspirations
• Proactive, self-directed operator who demonstrates strong ownership mindset; comfortable working autonomously to drive initiatives and deliver results.
• Proficiency in Google Sheets and Microsoft Excel
• Bachelor’s degree required
• Final candidates will be required to complete a case study analysis during the final rounds.

Nice to have:

• Proficiency in, or an aptitude to learn, Adaptive Insights including building models and reports
• Experience in financial forecasting, planning and analysis and operational budget management, preferably in a business partner facing role
• Experience in other tools/programming languages (Looker, SQL, VBA, Netsuite, Oracle, etc.)
• MBA is a plus

Compensation Range: 

• $93,000 - $140,000

*This is a remote role

JR: 2026-7580

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra Machines Design, you will act as the team lead for sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act as technical lead for the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Liase with DCOPS teams to develop, deliver, and support hardware-related runbooks
• Liase with vendor support teams regarding hardware and firmware issues and drive issues to resolution Identify gaps in tooling and operational processes and engage appropriate peer teams to close gaps
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operationsCoordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASHExtra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders An insatiable passion for constant improvement

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7601

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra Machines Design, you will act as the team lead for sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act as technical lead for the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Liase with DCOPS teams to develop, deliver, and support hardware-related runbooks
• Liase with vendor support teams regarding hardware and firmware issues and drive issues to resolution Identify gaps in tooling and operational processes and engage appropriate peer teams to close gaps
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operationsCoordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASHExtra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders An insatiable passion for constant improvement

Compensation Range: 

• $107,000 - $134,000

*This is a hybrid role

JR: 2026-7601

#LI-Hybrid

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: 

• $174,240 - $217,800

*This is a remote role

#LI-Remote

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a remote role

#LI-Remote

We want people who are passionate, high performing team players who can take new challenges and go the extra mile.

The Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed and that our financial results are properly accounted for. We provide financial analysis to determine key operational decisions within a rapidly growing organization. We only hire the best to these teams, and your work will have a huge impact on the future success of this rapidly growing company.

We are seeking a high-caliber finance professional to serve as a key architect of our corporate financial strategy. This role requires a unique blend of technical modeling mastery and strategic foresight, as you will directly own the company’s cash forecasting, equity dilution models, and long-range planning integration. The ideal candidate is a "three-statement expert" who thrives in a high-growth, fluid environment and possesses the analytical rigor to manage complex balance sheet and liquidity workstreams. You must be a proactive problem-solver, capable of translating intricate financial data into clear, actionable insights. Beyond maintaining the status quo, you will be a champion for scaling our FP&A processes and leveraging tools like Adaptive Insights to enhance the sophistication of our global finance function.

What You’ll Be Doing:

• Own the cash forecast during each monthly forecast cycle, including the annual planning cycle
• Maintain and evolve the WASO (Weighted Average Shares Outstanding) and EPS (Earnings per Share) model, including equity roll-forward schedules and dilution forecasting 
• Architect and update the Balance Sheet forecast, proactively monitoring leverage ratios and capital structure health
• Analyze interest expense trends and the impact of debt instruments on the overall P&L and cash position.
• Manage the Long-Range Planning (LRP) model, translating multi-year strategic initiatives into a cohesive financial outlook for various scenario analyses
• Act as the primary FP&A lead for Treasury support, providing data-driven insights for debt servicing, interest expense forecasting, and overall cash management.
• Support development of integrated modeling for CapEx and equipment lease forecasts in close collaboration with the COGS and Operations teams 
• Drive accountability for cash performance metrics, specifically owning the tracking and reporting of Adjusted FCF, Unlevered FCF, and Cash Generated metrics.
• Drive end-of-quarter Cash Flow analysis with Accounts Payable and Accounting to ensure accuracy, control over final pay runs, and weekly liquidity management. 
• Provide monthly, quarterly, and annual support for internal reporting and external earnings requirements related to equity, debt, and cash flow movements.
• Support the advancement of FP&A processes, Adaptive Insights planning system and related IT tools, and financial modeling to enhance the overall finance function
• Work closely with the accounting team to ensure timely and accurate financial closes on a monthly basis
• Prepare presentations and key reporting to the Board of Directors and Executive Team
• Develop business cases and analysis to inform and support business and financial decisions
• Collaborate cross functionally to understand the financial impact of, and help prioritize, new business initiatives and investments

What We’ll Expect From You:

• Strong analytical, financial modeling, and problem-solving skills with the ability to quickly grasp and apply analytical concepts
• 2-3 years of investment banking experience (Tier 1 banks preferred)
• Foundational knowledge of GAAP, specifically as it relates to Cash Flow Statement classification
• Demonstrated ability to consistently work within fixed timeframes and meet deadlines
• Proactive communicator with excellent verbal and written skills
• Maintain the highest standards of accuracy and precision; detail-oriented, highly-organized and resourceful
• Must have strong work ethic, team mentality, positive attitude, be highly-driven, self-motivated, have excellent business partnering skills and demonstrate internal stakeholder orientation
• Passion for technology and genuine desire to make meaningful contributions on a team with big aspirations
• Proactive, self-directed operator who demonstrates strong ownership mindset; comfortable working autonomously to drive initiatives and deliver results.
• Proficiency in Google Sheets and Microsoft Excel
• Bachelor’s degree required
• Final candidates will be required to complete a case study analysis during the final rounds.

Nice to have:

• Proficiency in, or an aptitude to learn, Adaptive Insights including building models and reports
• Experience in financial forecasting, planning and analysis and operational budget management, preferably in a business partner facing role
• Experience in other tools/programming languages (Looker, SQL, VBA, Netsuite, Oracle, etc.)
• MBA is a plus

Compensation Range: 

• $93,000 - $140,000

*This is a remote role

JR: 2026-7580

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

We are looking for an entry-level hardware technologist with experience testing and deploying firmware to server hardware at scale. Reporting to the Manager of Infra::Machines::Design, the Firmware Qualification Engineer will qualify and deploy firmware packages across DigitalOcean products and components and join a team of engineers who have already paved the way for the many tens of thousands of servers in our infrastructure. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and explore new technologies to bring to our customers.

What You’ll Be Doing:

• Work with vendors and internal peer teams on qualifying, onboarding, and delivering new firmware to the DigitalOcean ecosystem
• Act as Tier 3 escalation on-call for triage, investigation, and resolution of system firmware issues in the DigitalOcean fleet (both customer-facing and internal)
• Participate in 24/7 on-call rotation with other members of the teamImprove existing firmware and hardware configuration automation/validation, for both hardware platforms and components (such as NIC, Storage and BMC)
• Engage with hardware vendors about new automation features and existing bugsHelp with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alertingAssist in troubleshooting causes of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Strong understanding of x86 server hardware architecture and subsystems.
• Ideally, you’ve worked with non-x86 hardware too!Demonstrated professional proficiency in configuration management best-practices (we use Ansible and Chef)
• Experience automating server firmware components at large-scale using industry-standard tooling (Redfish, IPMI, etc) including a deep understanding of benchmarking, automating test frameworks, and process automation in general
• Practical knowledge of PXE boot, UEFI, Linux/OS boot, AMI/OEM BIOS distributions, OpenBMC/AMI/OEM BMC implementations, RAID and other storage resiliency technologies, and the full Network stack- from NIC firmware to TCP/IPAdept at Linux (or Unix) operating systems. You’ll be spending a lot of time working in one!
• Comfortable with version control systems (we use Git) and proficient in at least one programming language (such as Python or Go) Ability to participate in 24/7 on-call rotation with other members of the team
• Excellent communication skills, both within the team and with the broader company
• Have an insatiable passion for hardware, both new and old 

Compensation Range: 

• $83,000 - $104,000

*This is a hybrid role

JR: 2026-7606

#LI-Hybrid