About NeuroSpark
NeuroSpark builds and operates a high-performance AI inference platform that helps enterprises run large language models faster, cheaper, and at scale. Inference infrastructure is the foundation the entire AI application layer runs on — every AI product ultimately depends on how fast, how reliably, and how affordably models can serve their users. Our vision is to make that layer so efficient that compute is never the reason a good AI product fails.
About the Role
We are looking for a Go-to-Market Intern focused on developer relations, technical content, and community building.
You will partner with engineering and GTM to turn complex infrastructure topics into useful developer education, engage technical communities, and grow awareness of NeuroSpark.
What You Will Do
Technical Content & Developer Education
- Write technical blogs, tutorials, and developer-focused content on 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; improve developer documentation.
Developer Relations & Community Building
- 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.
GTM & Developer Marketing
- 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.
Who We Are Looking For
- 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.
- Team Player: Outstanding English writing skills and the ability to explain technical concepts clearly; proactive and comfortable in a fast-paced startup environment.
- Interest in AI: Familiarity with LLMs, generative AI, APIs, or developer tools; interest in AI infrastructure and developer communities.
- Highly prefer living in the San Francisco Bay Area; occasional in-person presence required.
Nice to Have
- Community Builder: Published technical blogs, documentation, tutorials, GitHub projects, or open-source contributions; Experience with developer communities, hackathons, technical events, SEO, or content analytics.
- Coding & AI: Python, JavaScript/TypeScript, REST APIs, or LLM APIs.
- AI Inference: Familiarity with vLLM, Hugging Face, Ollama, or AI model serving.
What Success Looks Like
- Community: Publish useful technical content that helps developers understand and adopt NeuroSpark.
- Connection: Grow meaningful developer engagement and improve onboarding resources.
- Conversion: Contribute to measurable experiments that increase developer awareness and adoption.
Compensation & Opportunities
- $20/hour; hybrid internship based in the San Francisco Bay Area.
- Work directly with engineering and GTM teams and own meaningful projects at an early-stage startup.
