Runpod is the AI Developer Cloud, used by more than 500,000 developers to build, train, deploy, and serve AI workloads. We are a remote-first company operating at the intersection of developer experience, production AI infrastructure, and efficient compute economics.
We are hiring a Developer Relations Lead to become one of the clearest technical voices for Runpod in the AI developer ecosystem. This role combines technical advocacy, community systems, and developer education. Community operations matter, but they are not the whole job. The right person can build a demo, write the guide, explain the tradeoffs, and turn developer feedback into useful product and marketing signal.
On any given week, you might ship a tutorial on deploying vLLM on Runpod, run an AMA with an engineer, speak at an AI meetup, identify a pattern in Discord feedback, and turn a repeated support question into a self-serve guide. We are not looking for someone who only presents, only moderates, or only writes. We need a builder who can earn trust with developers.
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.
- Ability to communicate with developers in precise technical language and translate recurring patterns into product and marketing signal.
- Comfort operating in a remote-first startup with high autonomy.
- Successful completion of a background check.
Preferred
- Experience at a cloud infrastructure, GPU compute, AI infrastructure, dev tools, MLOps, open-source, or developer-first SaaS company.
- Hands-on experience deploying or optimizing ML models in production.
- Existing presence in AI/ML, MLOps, cloud infrastructure, or developer communities.
- Experience building DevRel or community from an early-stage base rather than inheriting a mature program.
What You will Receive
- The competitive base pay for this position ranges from $130,000- $170,000. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on the candidate's experience, qualifications, and location.
- Meaningful equity in a fast-growing company. Everyone on the team receives stock options.
- Generous medical, dental, and vision plans.
- Flexible PTO.
- Remote-first work with an inclusive, collaborative team using Slack as the main form of internal communication.
- $1,200 home office and equipment stipend.
Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States, however, we are currently unable to sponsor employment visas.
