Job Opportunities API

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.  Are you passionate about building the next generation of infrastructure for the future 100 million developers? Are you ready to lead the engineering strategy behind the services that AI-native companies will use to build, scale, and operate agents in production? DigitalOcean is entering a pivotal moment as we build infrastructure for the agentic future and the next generation of AI-native companies. Agents will change how software is built, deployed, operated, and scaled. Developers will need infrastructure that lets them move seamlessly from local development to cloud execution, from short-running tasks to long-horizon workflows, and from experimental prototypes to reliable production systems. We are looking for a Senior Director of Agentic AI Engineering to define, own, and execute the strategy for DigitalOcean’s next-generation agentic infrastructure services. This leader will be responsible for building and scaling products such as Open Harness Runtime, Action Toolbox, and other foundational services that make it simple for developers to run, scale, and operate agents in the cloud. This is a rare opportunity to shape a new product category at DigitalOcean while building with the operational discipline required to serve our most demanding AI customers at scale. What You’ll Do Define and execute the technical roadmap: Own the multi-year engineering strategy and roadmap for DigitalOcean’s Agentic AI infrastructure services, ensuring customers have a seamless, high-performance environment for building and running agentic workloads. Build next-generation agentic primitives: Lead the architecture and delivery of core agentic infrastructure capabilities, including Open Harness Runtime, Action Toolbox, Coding Execution Runtime, and new services that make it simple to run, scale, resume, monitor, and operate agents in the cloud. Drive architectural excellence and operational scale: Set the long-term architecture for services that must be scalable, resilient, secure, and cost-efficient under large-scale agent deployment. Build the operational muscle required to scale usage, reliability, and customer trust. Launch revenue-driving products: Partner with product and GTM teams to launch new SKUs and services purpose-built for agentic workloads, balancing performance, developer experience, and gross margin. Improve efficiency and margin: Drive engineering initiatives that improve infrastructure utilization, reclaim margin, reduce waste, and prevent unnecessary CapEx growth as the business scales. Lead strategic infrastructure transitions Guide the planning and execution of new compute products and SKUs, including ARM and other specialized compute shapes, to improve power efficiency, density, cost structure, and workload fit. Build a high-performing engineering organization: Lead, mentor, and scale a geographically distributed engineering team. Create a culture that balances rapid AI innovation with the operational rigor required for production infrastructure. What You’ll Bring Deep infrastructure expertise: Extensive experience building and operating cloud infrastructure, virtualization platforms, distributed compute systems, runtime environments, or developer infrastructure at scale. Fluency in agentic AI infrastructure: A strong understanding of the infrastructure needs of agentic systems, including sandboxed execution, MicroVMs, long-running workloads, tool execution, state management, codin