Developer Relations Community Manager

What success looks like

• Developers understand faster how to build on Runpod.
• Technical content and demos drive activation, retention, and word of mouth.
• Discord, Reddit, GitHub, and community channels become high-signal feedback loops, not just support overflow.
• Runpod has a visible, credible presence in AI infrastructure, MLOps, and open-source developer communities.

Responsibilities

Developer relations and technical advocacy

• Own Runpod's developer relations strategy across technical content, demos, workshops, events, community programs, and open-source ecosystem engagement.
• Create technical content developers actually use: tutorials, reference architectures, sample apps, benchmarks, integration walkthroughs, GitHub repos, and video demos.
• Build examples across inference, training, fine-tuning, agent workloads, model serving, serverless endpoints, and GPU infrastructure patterns.
• Represent Runpod at AI/ML conferences, meetups, workshops, webinars, and community events.
• Engage with the open-source AI ecosystem, including PyTorch, Hugging Face, vLLM, LangChain, Kubernetes, Docker, and related tooling communities.
• Work with Product, Engineering, Content, and Marketing to align technical education with product launches and developer needs.

Community systems

• Own day-to-day community strategy across Discord, Reddit, GitHub Discussions, social channels, and emerging AI developer communities.
• Build community programs such as office hours, AMAs, champions programs, template showcases, hackathons, and power-user recognition.
• Create onboarding flows that reduce time-to-first-value for new developers and connect them to the right templates, docs, examples, and peers.
• Synthesize community feedback into structured product, support, content, and developer experience recommendations.
• Recruit and manage volunteer moderators while maintaining a high-signal environment.

Requirements

• 5+ years across developer relations, developer advocacy, developer marketing, technical community, or a hybrid technical advocacy role.
• Strong technical ability. Python is required. Go, Rust, TypeScript, Docker, Kubernetes, or infrastructure tooling is a plus.
• Portfolio of technical work: tutorials, talks, repos, demos, docs, videos, benchmarks, open-source contributions, or community programs with measurable reach.
• Deep familiarity with AI/ML workflows, model training and inference, PyTorch, Hugging Face, vLLM, containerized deployment, and GPU compute concepts.
• Experience operating technical communities, especially Discord, GitHub, Reddit, or open-source ecosystems.