Developer Relations Engineer

Overview

At Nscale, we’re on a mission to build the engine of superintelligence, and developers are at the center of how that future gets built. We’re looking for a Developer Relations Engineer to define how developers discover, learn, build, and scale on Nscale’s AI infrastructure platform. This role will own the global developer relations strategy - from technical content and community engagement to developer experience feedback loops and ecosystem growth - ensuring developers can successfully build and deploy AI workloads on Nscale.

You’ll lead programs that connect Nscale’s engineering and product teams with the global developer community, turning powerful infrastructure capabilities into approachable demos, learning paths, hands-on examples, and engaging developer experiences. This role sits on the Product Marketing team and focuses on three core pillars:

• Technical storytelling & community engagement: Creating content, demos, and events that help developers understand and adopt Nscale’s AI infrastructure platform.
• Developer adoption & ecosystem growth: Expanding the global community of developers building on Nscale infrastructure through education, advocacy, and partnerships.
• Developer experience & product feedback: Acting as the voice of the developer internally, identifying friction in onboarding, documentation, services, and tooling.

You’ll have the autonomy to build the foundations of a modern Dev Rel function from the ground up - defining the programs and developer journeys that make Nscale the platform developers choose to build the next generation of AI on. At Nscale, innovation isn’t just encouraged - it’s expected.

• Own the global developer relations strategy. Define how Nscale engages developers across content, community, events, and education to drive platform adoption.
• Drive developer adoption. Create self-serve content that supports every stage of the developer journey - from discovery and evaluation to building and deploying AI workloads on Nscale.
• Create a developer content engine. Oversee the creation of high-quality technical resources, including documentation improvements, code samples, demos, tutorials, notebooks, blog posts, and videos.
• Represent Nscale in the developer ecosystem. Speak at developer conferences, meetups, and hackathons; build strong relationships with open-source communities, AI-native companies, and the broader AI research community.
• Act as the bridge between developers and internal teams. Serve as a key connection point across Product, AI Platform Engineering, and Marketing. Identify friction, gaps, and emerging use cases from the developer ecosystem, feeding these insights back into product and platform teams while staying closely aligned with roadmap direction to proactively shape external content, demos, and ecosystem contributions.
• Build and scale developer programs. Launch initiatives such as ambassador programs, open-source initiatives, research collaborations, and training programs that help developers succeed on Nscale.
• Instrument developer growth. Support product-led developer growth by partnering with growth teams to define KPIs and dashboards that track self-serve adoption, usage, content engagement, and community growth.
• Experiment and evolve. Test new formats for developer education (live coding, interactive labs, tutorials, community challenges) and scale what drives adoption.

• 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.
• Bachelor's Degree in Machine Learning, Engineering, Computer Science, Technical or other related discipline or equivalent experience
• Strong technical background in ML and passionate about cloud infrastructure, with hands-on experience running AI workloads at scale (e.g., GPU compute, distributed systems, Kubernetes, model fine-tuning, and production inference), and familiarity with modern AI tooling including open-source frameworks, libraries, and agent-based systems.
• Deep understanding of how both AI-native teams and enterprises…