Principal Product Manager, Agentic AI Infrastructure

DigitalOcean • Seattle, WA

1d • Hybrid

About The Position

DigitalOcean is seeking 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. 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.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy
• Reimbursement for relevant conferences, training, and education
• Access to LinkedIn Learning's 10,000+ courses
• Bonus in addition to base salary
• Equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed