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Jobs/Community Manager Role/Runpod, Inc. - Developer Relations Community Manager
Runpod, Inc.

Runpod, Inc. - Developer Relations Community Manager

Remote, USA - Hybrid$130k - $170k+ Equity2w ago
In OfficeSeniorNACloud ComputingArtificial IntelligenceCommunity ManagerDeveloper Relations ManagerPublic SpeakingGoRustPythonTypeScript

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Requirements

• 5+ years of combined experience in developer relations, developer advocacy, community management, or a hybrid role at a developer-focused company • Strong technical skills: you can write production-quality code (Python required; Go, Rust, or TypeScript a plus), build demos, and debug developer issues in real time • Demonstrated ability to create compelling technical content: blog posts, tutorials, conference talks, video content, or open-source contributions with measurable reach • Deep familiarity with the AI/ML ecosystem: model training and inference workflows, popular frameworks (PyTorch, Hugging Face Transformers, vLLM), containerized deployments, and GPU compute concepts • Deep fluency with Discord as a community platform, including bots, roles, channel architecture, and moderation tooling; experience managing communities of 10K+ members • Experience building community or developer programs from scratch (ambassador programs, hackathons, user groups, content pipelines) with measurable results • Strong public speaking skills with a track record of delivering technical talks at conferences, meetups, or webinars • Strong written communication with the ability to move between developer language and business context; equally comfortable writing a deployment tutorial and a product feedback summary • Experience working cross-functionally with Product, Engineering, and Marketing teams in a fast-moving environment • Comfort operating in a remote-first environment with minimal structure and high autonomy • Successful completion of a background check • Preferred: • Experience at a cloud infrastructure, GPU compute, or developer tools company (AWS, GCP, Cloudflare, Lambda, CoreWeave, Modal, Replicate, Hugging Face, Vercel, etc.) • Hands-on experience deploying and optimizing ML models in production: inference optimization, cold start reduction, model serving, or distributed training • Existing presence and following in the AI/ML developer community (Twitter/X, YouTube, blog, GitHub) • Experience managing or contributing to open-source communities • Familiarity with serverless compute, container orchestration (Kubernetes, Docker), and cloud-native deployment patterns • Track record of building community-sourced content pipelines that feed into marketing or documentation efforts • Experience at a Series A through C stage company where you built DevRel or community from early stage • What You’ll 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 a number of factors, including the candidate’s experience, qualifications, and location • Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. • Generous medical, dental & vision plans • Flexible PTO- take the time you need to recharge • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication • $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace

Responsibilities

• Own Runpod's developer relations strategy: define the programs, content, and engagement motions that drive developer adoption, education, and advocacy • Create high-quality technical content: tutorials, guides, sample applications, benchmarks, integration walkthroughs, and video demos that help developers succeed on the Runpod platform • Build and maintain reference architectures, sample repos, and integration examples that demonstrate Runpod's capabilities across inference, training, fine-tuning, and agent workloads • Represent Runpod at developer conferences, meetups, and community events (AI/ML conferences, KubeCon, NVIDIA GTC, PyCon, etc.); deliver technical talks and workshops • Engage actively in the open-source AI ecosystem: contribute to relevant projects, build integrations with popular frameworks (PyTorch, Hugging Face, vLLM, LangChain, etc.), and cultivate relationships with maintainers • Build relationships with AI/ML influencers, YouTubers, technical bloggers, and educators who reach Runpod's target audience; support and enable their content creation efforts • Collaborate with Content and Marketing to align technical content with product launches, campaigns, and positioning • Contribute to Runpod's documentation and developer experience by identifying gaps, writing docs, and working with Product to improve onboarding flows • Own end-to-end community strategy and day-to-day operations across Discord (primary), Reddit, GitHub Discussions, social channels, and any emerging platforms where Runpod developers congregate • Build and manage community programs that drive engagement, retention, and advocacy: ambassador/champions programs, power-user recognition, community challenges, template showcases, and office hours • Create and maintain community onboarding flows that reduce time-to-first-value for new Runpod users and connect them to relevant resources, templates, and peers • Monitor and synthesize community conversations to surface product feedback, bug reports, feature requests, and emerging use cases to Product, Engineering, and Marketing teams on a structured cadence • Develop and enforce community guidelines that maintain a welcoming, high-signal environment while scaling membership; recruit and manage volunteer moderators as the community grows • Plan and execute community events including AMAs with Runpod engineers, community showcases, hackathons, and virtual meetups • Partner with Support and Product to build self-serve knowledge resources (FAQs, troubleshooting guides, best practices) that reduce support ticket volume and improve developer self-sufficiency • Collaboration • Track and report on combined DevRel and community impact metrics: content engagement, developer activation, community health (active members, engagement rates, response times, sentiment), conference ROI, community-sourced feedback volume, and influence on product adoption • Identify and cultivate relationships with high-value community members and open-source contributors who can become ambassadors, content contributors, or case study candidates • Partner with Product and Engineering to close the feedback loop between what developers experience in the community and what Runpod builds; advocate for developer experience improvements internally

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