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Nscale

Develops and operates AI data centers

Developer Relations Engineer

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 8 years of experience in developer relations, advocacy, technical marketing, or developer-focused product roles within technology companies, with a track record of building programs that drive measurable product adoption.
  • A Bachelor's degree in Machine Learning, Engineering, Computer Science, a technical or other related discipline, or equivalent experience.
  • A strong technical background in machine learning and hands-on experience running AI workloads at scale, including GPU compute, distributed systems, Kubernetes, model fine-tuning, and production inference; familiarity with modern AI tooling, including open-source frameworks, libraries, and agent-based systems.
  • Deep understanding of how AI-native teams and enterprises adopt AI infrastructure, including how workloads evolve from prototype to production across development, testing, and production environments.
  • Ability to identify emerging AI models, techniques, and developer patterns and translate them into content, demos, and strategic opportunities.
  • Strong industry connections across AI and machine-learning companies, open-source communities, or research groups, such as NVIDIA, Hugging Face, PyTorch, TensorFlow, JAX, Kaggle, Modular, GPU Mode, and Python Foundation.
  • Ability to communicate complex technical concepts and engage developer communities through content, event speaking, open source, and online platforms.
  • Experience measuring developer adoption and engagement metrics; familiarity with product-led growth motions is a plus.
  • Ability to collaborate with engineering, product, and marketing teams and communicate insights and impact to senior leadership.

Responsibilities

  • Contribute to the global developer relations strategy across content, community, events, and education to drive platform adoption.
  • Create self-serve content supporting every stage of the developer journey, from discovery and evaluation to building and deploying AI workloads on Nscale.
  • Oversee creation of technical resources, including documentation improvements, code samples, demos, tutorials, notebooks, blog posts, and videos.
  • Represent Nscale at developer conferences, meetups, and hackathons, and build relationships with open-source communities, AI-native companies, and the broader AI research community.
  • Connect developers with Product, AI Platform Engineering, and Marketing; identify friction, gaps, and emerging use cases, feed insights back to product and platform teams, and align external content, demos, and ecosystem contributions with the roadmap.
  • Launch developer programs such as ambassador programs, open-source initiatives, research collaborations, and training programs.
  • Partner with growth teams to define key performance indicators and dashboards tracking self-serve adoption, usage, content engagement, and community growth.
  • Test new developer-education formats, including live coding, interactive labs, tutorials, and community challenges, and scale those that drive adoption.

Desired Qualifications

  • Familiarity with product-led growth motions.

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$9.8B
Headquarters
London, United Kingdom
Founded
2024

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