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DigitalOcean

Runs cloud infrastructure for apps and AI

Staff Technical Product Marketing Manager

Product MarketingUpdated on Nov 11
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 10 years of experience marketing developer platforms, APIs, or technical products, or equivalent time in software development or solutions engineering.
  • Serious software development or solutions engineering experience.
  • Practical, current knowledge of AI inference, retrieval-augmented generation (RAG) architectures, agentic frameworks such as LangGraph, CrewAI, and AutoGen, and the model landscape.
  • Proven ability to represent complex technical products on stage and in high-visibility content before engineers, customers, analysts, and executives.
  • Track record of translating complex technical concepts into clear, specific, provable narratives for executive, sales, partner, and public audiences.
  • Ability to measure impact through adoption, pipeline, deal velocity, and win rates and connect go-to-market work to business outcomes.
  • Experience owning go-to-market for a product line or category and prioritizing across it.
  • Ability to work in an integrated development environment, script against an API, start a containerized environment independently, and engage credibly with a systems architect.

Responsibilities

  • Own product- and market-level positioning and messaging based on demonstrable value.
  • Serve as the positioning authority for Product Marketing, Sales, Developer Relations, and executive leadership, maintaining a current view of frontier labs, hyperscalers, inference providers, and neoclouds.
  • Create and test technical demos, sample applications, and code in Python and JavaScript to demonstrate the platform.
  • Produce technical content in formats such as blogs, demos, diagrams, and livestreams, tailored to the audience and distribution channel.
  • Represent DigitalOcean at public events and partner with vice presidents and C-level leaders on third-party appearances, from calls for papers through stage presentations.
  • Coordinate launch readiness across Product, Engineering, Developer Relations, and Sales so enablement and proof points are available at product launch.
  • Define success metrics before launch and provide account executives and solutions engineers with talk tracks, demo environments, and battlecards for high-value AI deals.
  • Build a repeatable launch playbook and measure impact through adoption, pipeline, deal velocity, and win rates.
  • Mentor other product marketing managers and establish the frameworks and standards used by the function.

About the Company

DigitalOcean

Runs cloud infrastructure for apps and AI

DigitalOcean provides cloud infrastructure for developers and businesses to build, host and scale applications and AI services. Teams rent virtual machines called Droplets, store data and run managed databases or Kubernetes clusters through a web console and APIs. Its AI services supply GPU computing, model inference and managed environments where software agents use tools and retain information between sessions. Customers pay for the resources they use, with subscriptions and managed services helping teams run applications without maintaining all the underlying infrastructure themselves. DigitalOcean was founded in 2012 and is headquartered in Broomfield, Colorado.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Broomfield, CO
Founded
2012

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