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Principal Product Manager, Agentic AI Infrastructure

DigitalOcean · Seattle
Full-timeAgentic AITechnology$179,000–$241,000/yr
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About the Principal Product Manager Agentic AI Infrastructure role

Principal Product Manager Agentic AI Infrastructure positions focus on delivering results in their domain. This page aggregates open Principal Product Manager Agentic AI Infrastructure roles and what employers typically expect.

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. What You’ll Bring 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…

Salary estimate

$179,000 – $241,000/yr
Provided by the employer.

Skills for this role

LeadershipSecurity

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