Top AI & Machine Learning Jobs

Lead product strategy and execution for managed agent infrastructure products. Define roadmaps, partner with customers and engineering, design developer experiences (APIs/CLIs/docs), launch SKUs, and drive adoption, reliability, and business metrics for agentic AI infrastructure.

Define and own product strategy and roadmap for managed agent infrastructure. Lead product definition for services (e.g., Open Harness Server, sandboxing, action gateway), partner with customers and engineering, shape developer experience (APIs/CLIs/docs), launch products and SKUs, drive metrics for adoption, reliability, and revenue, and evangelize the agentic infrastructure category.

Lead product strategy and execution for managed agent infrastructure products. Define roadmaps, partner with customers and engineering, design developer experiences (APIs/CLI/docs), launch SKUs, and drive adoption, reliability, and business metrics for agent-native cloud services.

Lead product strategy and roadmap for managed agent infrastructure products. Define and launch services (e.g., Open Harness Server, execution sandboxes, action gateways), partner with customers and engineering to translate needs into secure, scalable APIs/CLIs, shape developer experience, drive adoption/metrics, pricing, and evangelize the category.

Define and execute the multi-year engineering strategy for agentic AI infrastructure. Lead architecture and delivery of runtimes and services (Open Harness, Action Toolbox), ensure scalable, reliable, cost-efficient production systems, launch revenue-driving SKUs, optimize utilization and margins, guide compute transitions (ARM/specialized shapes), and build a high-performing distributed engineering organization.

Lead strategy and execution for DigitalOcean's agentic AI infrastructure services. Define roadmaps, build scalable runtimes and agent primitives, drive architecture and operational excellence, launch revenue-driving SKUs, optimize efficiency and margins, guide compute transitions (including ARM), and grow a high-performing distributed engineering organization.

Lead strategy and delivery of next-generation agentic AI infrastructure services. Define technical roadmap, architect scalable runtimes (Open Harness, Action Toolbox, Coding Execution), drive operational excellence, launch revenue-driving SKUs, optimize infrastructure efficiency, guide compute transitions (including ARM), and build a high-performing distributed engineering organization.

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.