GTM Intern – Developer Relations & Technical Content
About The Position
NeuroSpark is seeking a Go-to-Market Intern focused on developer relations, technical content, and community building. The intern will work with engineering and GTM teams to turn complex infrastructure topics into practical developer education, engage technical communities, and raise awareness of NeuroSpark. The role includes writing technical blogs, tutorials, API walkthroughs, quick-start guides, and practical examples covering topics such as LLM inference, APIs, model deployment, and infrastructure. The intern will translate engineering insights, product updates, and technical concepts into clear articles and help improve developer documentation. The intern will engage developers through GitHub, Discord, Reddit, LinkedIn, X, and AI/ML communities; help answer questions, gather feedback, identify open-source collaboration opportunities, and support meetups, hackathons, workshops, and other community initiatives. They will also support developer-focused launches, newsletters, product announcements, and campaigns; research AI tooling trends, competing inference platforms, and developer needs; and track content performance, community engagement, and developer adoption while proposing and executing experiments. This is a hybrid internship based in the San Francisco Bay Area, with occasional in-person presence required. The position pays $20 per hour and offers the opportunity to work directly with engineering and GTM teams and own meaningful projects at an early-stage startup.
Requirements
- Be a current student pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Technical Communication, Marketing, Business, Economics, or a related field.
- Have outstanding English writing skills and the ability to explain technical concepts clearly.
- Be proactive and comfortable in a fast-paced startup environment.
- Have familiarity with LLMs, generative AI, APIs, or developer tools, and an interest in AI infrastructure and developer communities.
- Highly prefer living in the San Francisco Bay Area; occasional in-person presence is required.
Nice To Haves
- Published technical blogs, documentation, tutorials, GitHub projects, or open-source contributions.
- Experience with developer communities, hackathons, technical events, SEO, or content analytics.
- Experience with Python, JavaScript/TypeScript, REST APIs, or LLM APIs.
- Familiarity with vLLM, Hugging Face, Ollama, or AI model serving.
Responsibilities
- Write technical blogs, tutorials, and developer-focused content about LLM inference, APIs, model deployment, and infrastructure.
- Translate engineering insights, product updates, and technical concepts into clear, engaging articles.
- Create API walkthroughs, quick-start guides, and practical application examples, and improve developer documentation.
- Engage developers across GitHub, Discord, Reddit, LinkedIn, X, and relevant AI/ML communities.
- Help answer developer questions, collect feedback, and identify open-source collaboration opportunities.
- Support meetups, hackathons, workshops, and other developer community initiatives.
- Support developer-focused launches, newsletters, product announcements, and campaigns.
- Research AI tooling trends, competing inference platforms, and developer needs.
- Track content performance, community engagement, and developer adoption; propose and execute experiments.
Benefits
- $20 per hour.
- Opportunity to work directly with engineering and GTM teams and own meaningful projects at an early-stage startup.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
