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.
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 excited to define the products 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. Agents will change how software is built, deployed, operated, and scaled. Developers will need infrastructure that lets them move 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 Principal Product Manager for Agentic AI Infrastructure to define and own the product strategy for a new generation of managed agent infrastructure products. This role will shape one or more products like Open Harness Server, Code Execution Sandbox, Action Gateway, and related services that make it simple for developers to run, scale, secure, resume, and operate agents in the cloud.
This is a rare opportunity to help define a new product category at DigitalOcean and build the infrastructure layer that agent-native companies will depend on.
What You’ll Do- Define the Agentic AI infrastructure product strategy: Own the product vision, roadmap, and execution plan for DigitalOcean’s managed agent infrastructure products.
- Build foundational agent infrastructure products: Lead product definition for services such as Open Harness Server, Code Execution Sandbox, Action Gateway, tool execution, session management, agent runtime APIs, and related developer experiences.
- Work backwards from agent-native customers: Partner directly with companies building coding agents, productivity agents, workflow agents, and custom AI systems to understand the infrastructure they need to move from prototype to production.
- Create simple abstractions for complex workloads: Define product experiences that make it easy for developers to run long-lived agents, fork sessions, resume work, attach tools, manage credentials, execute code safely, and observe agent behavior.
- Shape the developer experience: Build intuitive APIs, CLIs, docs, examples, and workflows that let developers bring their existing harnesses and agent frameworks to DigitalOcean with minimal friction.
- Partner with engineering on architecture and tradeoffs: Work closely with engineering leaders to translate customer needs into product requirements across MicroVMs, sandboxing, tool execution, identity, state management, observability, security, and scale.
- Launch new products and SKUs: Partner with GTM, finance, and engineering to define packaging, pricing, beta programs, launch plans, and adoption motions for agentic infrastructure services.
- Drive operational and business outcomes: Establish product metrics around adoption, retention, usage, reliability, workload scale, gross margin, developer satisfaction, and revenue growth.
- Evangelize the category: Help DigitalOcean explain why agents need a new infrastructure layer and how our products help developers build, test, deploy, and operate agents with confidence.
- Strong product leadership in infrastructure or developer platforms: Experience building cloud infrastructure, developer tools, ML platforms, runtime systems, workflow engines, security products, or API-first platforms.
- Fluency in agentic AI systems: Understanding of how agents use tools, execute code, manage context, call APIs, operate across long-running sessions, and interact with external systems.
- Technical depth in cloud primitives: Familiarity with areas such as containers, MicroVMs, sandboxing, identity and access management, stateful workloads, distributed systems, observability, and secure execution environments.
- Customer-backed product instincts: Ability to work with early, demanding customers and turn ambiguous feedback into clear product direction, roadmap priorities, and launchable capabilities.
- Strong systems thinking: You can reason across user experience, platform architecture, security, reliability, pricing, and operational complexity.
- Developer empathy: You understand what developers need to adopt a platform quickly: simple APIs, clear mental models, fast onboarding, trustworthy docs, and products that work without unnecessary ceremony.
- Business judgment: You can connect product investments to revenue, adoption, margin, differentiation, and long-term platform strategy.
- Executive communication and influence: You can align engineering, design, GTM, finance, legal, security, and executive stakeholders around a clear product strategy.
- Category-building mindset: You are excited to operate in an emerging market where the primitives are still being defined and where product leadership requires both conviction and customer-driven iteration.
- $215,200 - $269,000
*This is a remote role
JR: 2026-8047
#LI-Remote
Why You’ll Like Working for DigitalOcean
- 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.
Similar Jobs at DigitalOcean
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead threat modeling and mitigation for the virtualization stack (QEMU/KVM). Build frameworks and rubrics to assess hypervisor risk, propose defense-in-depth designs, partner with engineering teams to implement remediations, mentor teams on security best practices, and help oversee vulnerability management.
Top Skills:
ApparmorCContainerizationContinuous Integration/Delivery (Ci/Cd)GoKvmLandlockQemuRustSelinux
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
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.
Top Skills:
Action ToolboxArmCloud InfrastructureCoding Execution RuntimeDistributed Compute SystemsMicrovmsOpen Harness RuntimeRuntime EnvironmentsVirtualization Platforms
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead technical design and enforcement of network security across edge, backbone, and datacenter environments. Perform threat modeling, intrusion detection, DDoS mitigation, security automation and tooling, incident response, and security reviews. Mentor teams, integrate security into SDN/BGP/MPLS platforms, and promote best practices with observability and IaC.
Top Skills:
AristaBgpBgp-LuCienaCloudflareCoreroDdos MitigationDns SecurityElkFirewallGitGoGrafanaIs-IsJuniperLacpLinuxMplsNetwork Intrusion DetectionOspfPrometheusPythonRoutingSdnVrrp
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
