Senior Director, Agentic AI Infrastructure Engineering

• 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.

• $261,600 - $327,000

*This is a hybrid role

#LI-Hybrid

• We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
• We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
• We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
• We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
• DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period.

This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.