Responsibilities

• Architect the technical narrative. Translate complex capabilities like inference economics, serving optimization, and agent orchestration into crisp, outcome-driven narratives grounded in provable value, not benchmark theater. Turn what we built into a sharp point of view: who it is for, what it replaces, and why it matters to them.
• Build the proof yourself. Develop hands-on demos, sample integrations, and code (Python, JavaScript) that prove the platform to a skeptical, sophisticated developer audience across docs, blogs, keynotes, and launches. You don't wait for an engineer to explain a feature; you test it.
• Create deeply technical content and take it public. Produce the content that helps our audience understand our products and their value. Match the medium to the message, whether that is a blog, a demo, a diagram, or a livestream, and tailor it for distribution and audience. Represent DigitalOcean on stage at conferences, meetups, and customer events with the depth and presence to hold a technical room. Partner with our executives on their most important third-party appearances: own the decks, prep, and CFP-to-stage shepherding.
• Orchestrate launches and arm the field. Drive product introductions as a system, sequencing readiness across Product, Engineering, DevRel, and Sales so enablement and proof points land the day the product does. Give Account Executives and Solutions Engineers the talk tracks, demo environments, and battlecards to close high-value AI deals, and measure what worked: adoption, pipeline, deal velocity, and win rates.
• Read the market in real time. Keep a sharp pulse on AI benchmarks, model shifts, and agentic frameworks (LangGraph, CrewAI, AutoGen). Turn competitive signal into positioning the field can use, and bring customer, market, and competitive insight back into product and GTM decisions.
• Fuel the developer community. Partner with Developer Relations to engage AI builders through technical discussions, open-source explorations, and moments the community wants to show up for.

Requirements

• Technical practitioner. Comfortable in a terminal and an IDE. You can build a basic app integration, script against an API, and spin up a containerized environment yourself. Professional or serious hobbyist software development experience is a must.
• AI-native. You use AI daily to augment your own work. You track weekly shifts in the AI landscape, from model benchmarks to agentic frameworks (LangGraph, CrewAI, AutoGen), and you have a defensible point of view on where the market is going.
• Public voice. Proven ability to represent complex technical products on stage and in high-visibility content, with credibility in front of engineers, customers, and executives.
• Proven synthesizer. A track record of turning complex technical concepts into simple, specific, provable narratives that travel across executive, sales, partner, and public audiences.
• Metrics-fluent. You measure your impact through adoption, pipeline, deal velocity, and win rates, and you communicate it clearly to senior stakeholders.
• Experienced in the stack. At least 5 years marketing developer platforms, APIs, or technical products, or equivalent time in software development or solutions engineering.

Benefits

• 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.