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.
- 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 remote role
JR: 2026-8058
#LI-Remote
#LI-Remote
- 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.
Skills Required
- Extensive experience building and operating cloud infrastructure, virtualization platforms, distributed compute systems, or developer infrastructure at scale.
- Fluency in agentic AI infrastructure: sandboxed execution, MicroVMs, long-running workloads, tool execution, state management, coding agents, and high-performance runtimes.
- Proven ability to define and execute multi-year technical roadmaps and product strategies for infrastructure services.
- Experience launching revenue-driving products and partnering with product and GTM teams to define SKUs and pricing.
- Experience improving infrastructure efficiency, utilization, cost structure, and preventing unnecessary CapEx growth.
- Experience guiding compute product transitions, including ARM and specialized compute shapes.
- Operational excellence running production systems with SLOs, incident discipline, ownership models, and continuous improvement loops.
- Executive leadership experience scaling and mentoring large, geographically distributed engineering teams and developing leaders.
- Customer obsession: ability to work backwards from demanding customers and turn ambiguity into product direction.
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes medical, dental, vision, and mental-health support plus employer-paid life/AD&D/disability, with multiple plan options and above-average employer contributions. Offerings are described as market-leading and in some cases fully paid to keep premiums low.
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Equity Value & Accessibility — Equity awards (new-hire and performance RSUs) are paired with an Employee Stock Purchase Plan offered at a discount. This ownership component augments cash compensation and broadens participation in company growth.
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Parental & Family Support — Paid parental leave is provided for a defined period and includes a structured, part-time transition-back program. The approach emphasizes a smoother return-to-work experience for new parents.
DigitalOcean Insights
What We Do
DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.
Why Work With Us
At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.
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Remote Workspace
Employees work remotely.
We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.
