Jobs at DigitalOcean

Lead product strategy and execution for managed agent infrastructure products (e.g., harness servers, code sandboxes, action gateways). Partner with engineering and customers to define APIs, runtimes, security, observability, and scalability. Launch products, define pricing and GTM, drive adoption and business metrics, and evangelize the category to developers and stakeholders.

Lead global data center on-site operations, build scalable operating models, standardize processes, improve SLA performance, readiness for GPU/liquid-cooled high-density environments, manage vendor relationships, and develop operational metrics and leadership for rapid expansion.

Lead and execute large-scale data center builds, expansions, and rack deployments. Serve as onsite technical owner, coordinate vendors/contractors, validate site readiness, troubleshoot hardware/cabling/network issues, create deployment standards and runbooks, mentor teams, and drive deployment quality and handoffs across global sites.

Lead architecture and implementation of network security across edge, backbone, and datacenter environments. Provide technical leadership, conduct threat modeling and network security assessments, build security automation and IaC, integrate controls into SDN/BGP/MPLS systems, participate in incident response, and drive security reviews and best practices across teams.

Lead strategy and execution for DigitalOcean's compute platform. Define roadmaps, evaluate CPU architectures, optimize fleet utilization and costs, advance virtualization and containerization, ensure performance and reliability, conduct competitive analysis, engage customers, and partner cross-functionally to drive product adoption and efficiency.

Own the security risk posture for the virtualization stack by building threat models, assessment rubrics, and defenses. Propose and implement mitigations, partner with engineering teams to drive remediations, mentor engineers on secure practices, and help oversee vulnerability management and security guidance.

Lead the strategy and execution for DigitalOcean's agentic AI infrastructure: design and scale runtimes, sandboxed execution, tool and state management, launch revenue-driving SKUs, optimize efficiency and margins, and build a high-performing distributed engineering organization focused on reliability and operational excellence.

Own product strategy and roadmap for managed agent infrastructure. Define services (harness server, sandbox, gateways), partner with customers and engineering, shape developer experiences, launch products, and drive adoption, reliability, and revenue metrics.

Lead applied research and technical direction for agent memory in production AI: define roadmap, design and build memory and retrieval architectures, run large-scale experiments, develop evaluation frameworks, and partner cross-functionally to ship reliable, personalized long-running agent capabilities.

Lead applied research and engineering for feedback-driven agentic AI: define reward modeling and reinforcement learning roadmap, design production learning loops and evaluation frameworks, run large-scale experiments, and ship research into production while partnering across product and engineering.

Lead the Sustaining Engineering team in supporting and troubleshooting server hardware, firmware, and infrastructure in a fast-paced environment. Collaborate with various teams and drive issues to resolution while developing operational standards.

The role involves building strategic alliances with system integrators, navigating organizational structures, translating cloud trends into strategies, and leading cross-functional workstreams to enhance partnership effectiveness.

Build and own the go-to-market enablement function: design AE onboarding and certification, create pitch libraries, coach reps live, run enablement cadence and manage content. Partner with Product, Rev Ops, PMM, Sales and Marketing to align programs to GTM priorities and product evolution.

Design, optimize, and maintain Linux kernels for DigitalOcean's compute and GPU fleets. Diagnose kernel and VM issues, deliver live-patch fixes, tune for latency/throughput/power, improve tooling and automation, implement monitoring, influence hardware roadmaps, mentor engineers, participate in on-call rotations, and contribute upstream kernel patches.

Lead multi-year product strategy and roadmap for DigitalOcean's Data and AI platform. Own development of vector databases, knowledge bases, Iceberg-supported data primitives, and integrations for RAG and AI agents. Drive cross-functional execution, pricing, capacity planning, and customer-driven feature prioritization; measure utilization, reliability, and deployment velocity.

Lead delivery of high-density GPU data center deployments: plan sites, manage vendor schedules and procurement, coordinate colocation/installation, mitigate risks, and build repeatable processes to get GPUs online quickly for AI workloads.

Design, build, and maintain security products and infrastructure: real-time detection engines (Flink/Kafka), high-performance APIs (Go/Node.js), streaming analytics, Kubernetes at hyperscale, and petabyte-scale data pipelines. Lead technical designs, collaborate with security teams, and mentor junior engineers.

Lead and execute CEO/CFO-sponsored growth initiatives, drive cross-functional execution, own competitive intelligence and corporate strategy, inform build/partner/buy decisions, support M&A diligence and strategic finance, and synthesize AI/cloud industry trends into actionable executive recommendations and plans.

Design, develop, test, and maintain DigitalOcean's low-level virtualization stack for Droplets. Collaborate across hardware, kernel, observability, and product teams to support scale, security, GPU/AI workloads, and new hardware. Contribute to open source virtualization projects, validate hardware, backport and deploy patches, improve release pipelines, and participate in on-call rotations.

Design, implement, and maintain large-scale datacenter and global backbone networks. Diagnose and resolve complex network issues, automate provisioning and compliance with Python/Go/Salt, perform capacity planning, lead maintenance and migrations, run proofs-of-concept, and produce network documentation, runbooks, and BOMs while mentoring team members and coordinating incident responses.