Developer Relations Advocate (DevRel)

We’re looking for a Developer Relations (DevRel) Advocate to join our team. The ideal candidate will be responsible for driving the adoption of our AI cloud services and promoting our technology to a broad audience. As a DevRel Advocate, you will serve as a crucial link between our engineering team and the community. Your responsibilities will include: Engage with the ML engineers community through industry events, social media (X, Reddit, Discord), and other channels. Organize, drive, and participate in ML/AI meetups, hackathons, webinars, and conferences. Foster relationships with key influencers and advocates within the AI and ML communities, as well as with university labs. Promote our AI cloud services through content creation, including how-to guides, tutorials, and blog posts around topics such as data engineering, app development, LLMs, AI/ML, DevOps, and more. Speak at conferences, contribute to events, and engage in communities like Stack Overflow and GitHub. Collaborate with marketing to create compelling narratives and customer/partner case studies. Monitor activities and engagement, gather and analyze feedback from the ML community to inform product improvements. Track and report on key metrics related to ML community engagement, satisfaction, and adoption. We expect you to have: At least 3 years’ experience in a developer advocacy, technical evangelism, technical writing or similar role. Strong expertise in AI and machine learning concepts, working knowledge of platforms and tools like Huggingface, Llama2, mistral, Pinecone, Weaviate, LlamaIndex, and Langchain. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI/ML tools. Excellent written and verbal communication skills. Ability to explain complex technical concepts in a clear and accessible manner. Proven experience in community building and engagement. Experience in open-source communities. Ideally working knowledge of data platforms like Kubernetes, PyTorch, Kafka, Postgres; developer tools like SDKs, APIs, LLMs, and have experience of writing code sample projects, demos, or tutorials for two of these languages: JavaScript, Python, Java, C#, Go, or Ruby.

Launched in November 2023, the Nebius AI platform provides high-end infrastructure and tools for training, fine-tuning and inference. Based in Europe with a global footprint we aspire to become the leading AI cloud for AI practitioners around the world. Nebius is built around the talents of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, clearly differentiating Nebius from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius offers the latest NVIDIA GPUs including H100, L40S, with H200 and Blackwell chips coming soon. Nebius owns a data center in Finland, built from the ground up by the company’s R&D team. We are expanding our infrastructure and plan to add new colocation data centers in Europe and North America already this year, and to build several greenfield DCs in the near future. Our Finnish data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 19th most powerful globally (Top 500 list, June 2024). It also epitomizes our commitment to sustainability, with energy efficiency levels significantly above the global average and an innovative system that recovers waste heat to warm 2,000 residential buildings in the nearby town of Mäntsälä. Nebius is headquartered in Amsterdam, Netherlands, with R&D and commercial hubs across North America, Europe and Israel.