Hiring: Director, Developer Relations Company: Nscale Location: San Francisco, CA Job Posted Time: 2026-09-16 10:22:27 Target Skills & Keywords : Fine-tuning, Hugging Face, Kubernetes, Machine Learning, PyTorch, Python, TensorFlow About the job Experience: •10+ years of experience in developer relations, advocacy, technical marketing, or developer-focused product roles within technology companies, with a track record of building and leading programs that drive measurable product adoption, including experience leading a DevRel function at the director level. Required Skills: •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 DevRel function from the ground up - defining the programs, developer journeys, and eventually the team 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 and lead the global developer relations strategy. Define how Nscale engages developers across content, community, events, and education to drive platform adoption, starting in the US with a roadmap into EMEA and APAC. •Drive developer adoption. Set the strategy behind and create self-serve content that supports every stage of the developer journey, from discovery and evaluation to building and deploying AI workloads on Nscale. •Build and oversee a developer content engine. Direct the creation of high-quality technical resources, including documentation improvements, code samples, demos, tutorials, notebooks, blog posts, and videos, and do hands-on execution yourself until the team is in place. •Represent Nscale in the developer ecosystem. Speak at developer conferences, meetups, and hackathons (including events like PyTorch and Ray Summit); build strong relationships with open-source communities, AI-native companies, and the broader AI research community as a credible, recognized voice. Qualifications: •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. •Comprehensive expertise in how both AI-native teams and enterprises adopt AI infrastructure, with the ability to position beyond demos by showing how workloads evolve from prototype to production across development, testing, and production environments. •Strong point of view on the evolving AI landscape, with the ability to identify emerging models, techniques, and developer patterns early and translate them into high-impact content, demos, and strategic opportunities. •Deeply connected within the AI/ML ecosystem, with strong industry ties across leading companies, open-source communities, or research groups (e.g., NVIDIA, Hugging Face, PyTorch, Ray, TensorFlow, JAX, Kaggle, Modular, GPU Mode, Python Foundation), ideally already recognized as an advocate or voice with an existing following in the space. •Proven ability to communicate complex technical concepts and engage developer communities across content, speaking at events, open source, and online platforms, with genuine openness to frequent travel in support of that presence. •Data-driven mindset, with experience measuring developer adoption and engagement metrics; familiarity with product-led growth (PLG) motions is a plus. •Comfortable collaborating with engineering, product, and marketing teams, and communicating insights and impact to senior leadership, including operating with significant ambiguity while building a function from scratch. •What success looks like in the first 6 months •Developer relations strategy and developer adoption roadmap formally adopted by Marketing, Product, and AI Engineering teams. Compensation: •Competitive benefits and rewards package •In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!