Senior Director, Agentic AI Infrastructure Engineering

DigitalOcean•Austin, TX

1d•$261,600 - $327,000•Remote

About The Position

DigitalOcean is seeking a Senior Director of Agentic AI Engineering to define, own, and execute the strategy for the company’s next-generation agentic infrastructure services. This role is pivotal in building and scaling products like Open Harness Runtime, Action Toolbox, and other foundational services that simplify the process for developers to run, scale, and operate agents in the cloud. This is a unique opportunity to shape a new product category within DigitalOcean, ensuring operational discipline to serve demanding AI customers at scale.

Requirements

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, coding agents, and high-performance runtimes.
Strong business and technical judgment: Proven ability to translate business goals such as revenue growth, margin improvement, utilization, and efficiency into technical strategy, architecture, and execution.
Operational excellence at scale: Experience operating production systems with high reliability requirements, clear ownership models, measurable SLOs, incident discipline, and continuous improvement loops.
Executive leadership: Experience leading large, distributed engineering teams through technical and organizational change, with a track record of developing leaders, setting clear accountability, and delivering through complexity.
Customer obsession: A demonstrated ability to work backwards from demanding customers, turn ambiguity into product direction, and build infrastructure that developers love because it is powerful, reliable, and simple to use.

Responsibilities

Define and execute the technical roadmap, owning the multi-year engineering strategy and roadmap for DigitalOcean’s Agentic AI infrastructure services to ensure a seamless, high-performance environment for agentic workloads.
Build next-generation agentic primitives by leading the architecture and delivery of core agentic infrastructure capabilities, including Open Harness Runtime, Action Toolbox, Coding Execution Runtime, and new services for running, scaling, resuming, monitoring, and operating agents.
Drive architectural excellence and operational scale by setting the long-term architecture for scalable, resilient, secure, and cost-efficient services, and building the operational muscle for usage, reliability, and customer trust.
Launch revenue-driving products by partnering with product and GTM teams to launch new SKUs and services for agentic workloads, balancing performance, developer experience, and gross margin.
Improve efficiency and margin by driving engineering initiatives that enhance infrastructure utilization, reclaim margin, reduce waste, and prevent unnecessary CapEx growth.
Lead strategic infrastructure transitions by guiding the planning and execution of new compute products and SKUs, including ARM and specialized compute shapes, to improve efficiency, density, cost structure, and workload fit.
Build a high-performing engineering organization by leading, mentoring, and scaling a geographically distributed engineering team, fostering a culture that balances AI innovation with operational rigor for production infrastructure.