Digital Ocean

4 weeks ago

Principal Product Manager, Agentic AI Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead the strategy and execution for DigitalOcean’s agentic AI infrastructure, defining vision and roadmap for managed agent infrastructure products (Open Harness Server, Code Execution Sandbox, Action Gateway) and partnering with engineering and GTM to drive adoption, revenue, and developer satisfaction in a rapidly evolving AI-native landscape.

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key 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 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 enable 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 allow developers to bring existing harnesses and agent frameworks to DigitalOcean with minimal friction.

Pay and Benefits

Salary: USD 215,200 - 269,000 annually

Equity and Bonus:Equity

Perks:EquityLearning BudgetFlexible Time

Key Requirements

•Strong product leadership in infrastructure or developer platforms with experience building cloud infrastructure, developer tools, ML platforms, runtime systems, workflow engines, security products, or API-first platforms.
•Fluency in agentic AI systems and 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 including containers, MicroVMs, sandboxing, identity and access management, stateful workloads, distributed systems, observability, and secure execution environments.
•Customer-backed product instincts with the ability to work with early, demanding customers and translate ambiguous feedback into clear product direction, roadmap priorities, and launchable capabilities.
•Strong systems thinking to reason across user experience, platform architecture, security, reliability, pricing, and operational complexity.

Experience:AICloudInfrastructureDeveloper toolsML platformsRuntime systemsSecurityAPI-first platforms

Skills:LeadershipExecutive communicationInfluencingCustomer empathyStrategic thinkingBusiness judgment

Languages:English

Tech Stack:ContainersMicroVMsSandboxingIdentity and access managementStateful workloadsDistributed systemsObservabilitySecure execution environmentsAPIs

Company Brief

Digital Ocean

Provides cloud infrastructure and developer-focused cloud services including scalable droplets, managed databases, Kubernetes, object storage, and networking to simplify deploying and managing applications for developers and small-to-medium businesses.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn

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Digital Ocean

4 weeks ago

Principal Product Manager, Agentic AI Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key 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 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 enable 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 allow developers to bring existing harnesses and agent frameworks to DigitalOcean with minimal friction.

Pay and Benefits

Salary: USD 215,200 - 269,000 annually

Equity and Bonus:Equity

Perks:EquityLearning BudgetFlexible Time

Key Requirements

•Strong product leadership in infrastructure or developer platforms with experience building cloud infrastructure, developer tools, ML platforms, runtime systems, workflow engines, security products, or API-first platforms.
•Fluency in agentic AI systems and 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 including containers, MicroVMs, sandboxing, identity and access management, stateful workloads, distributed systems, observability, and secure execution environments.
•Customer-backed product instincts with the ability to work with early, demanding customers and translate ambiguous feedback into clear product direction, roadmap priorities, and launchable capabilities.
•Strong systems thinking to reason across user experience, platform architecture, security, reliability, pricing, and operational complexity.

Experience:AICloudInfrastructureDeveloper toolsML platformsRuntime systemsSecurityAPI-first platforms

Skills:LeadershipExecutive communicationInfluencingCustomer empathyStrategic thinkingBusiness judgment

Languages:English

Tech Stack:ContainersMicroVMsSandboxingIdentity and access managementStateful workloadsDistributed systemsObservabilitySecure execution environmentsAPIs

Company Brief

Digital Ocean

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn