Senior Developer Advocate

GMI Cloud, Inc; Mountain View (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

GMI Cloud, Inc. seeks a technically hands‑on Developer Relations professional to turn emerging AI tech into compelling developer experiences. You will build demos, tutorials, and content, and present to technical audiences at events and in online formats.

You’ll translate fast‑moving AI trends into practical use cases, create benchmarks and sample code, and grow the ecosystem through open source and partnerships. Mountain View/SF area in‑person collaboration expected.

Qualifications

• 5-10 years of relevant experience and strong technical skills are required.
• Experience building AI applications, technical demos, developer tools, or model integrations.
• Practical understanding of LLM APIs, streaming, tool calling, structured output, agents, RAG, and inference workflows.
• Experience with AI coding tools and agent frameworks/orchestration tools.
• Ability to learn and experiment with new models, frameworks, and developer platforms.
• Strong awareness of current AI trends and judgment to identify important developments.
• Experience creating online tutorials, technical documentation, videos, workshops, or developer education content.
• Public speaking and comfort presenting to technical audiences.

Responsibilities

• Build around the latest AI trends by tracking models, tools, and open‑source developments.
• Create working demos, notebooks, templates, and reference implementations.
• Translate trends into practical developer use cases and publish tutorials and content.
• Present technical topics via webinars, workshops, and conferences; represent the company at events.
• Grow the developer ecosystem through campaigns, collaborations, and community engagement.

Skills

Technical proficiency

Public speaking

Tutorial creation

Developer relations

AI tooling knowledge

LLM APIs

Content production

Video tutorials

Open source

Presentation skills

Tools

Claude Code

Codex

Cursor

Cline

Continue

Job description

We are looking for a highly technical and creative Developer Relations professional who can turn emerging AI technologies into developer experiences that capture attention.

You should be able to quickly understand a new model, framework, or developer trend, build something useful with it, and explain it clearly through online tutorials, technical presentations, live demos, videos, and community content.

This role requires strong hands‑on technical skills. You will not simply communicate what the product does, you will use the product yourself, build working examples, identify the most compelling technical insight, and show developers why it matters.

The ideal candidate combines three strengths: Strong technical execution, creative instincts, and excellent presentation skills.

What You'll Do

Build Around the Latest AI Trends

• Track new model releases, AI coding tools, agent frameworks, multimodal applications, and open‑source ecosystem developments.
• Quickly identify which trends are relevant to GMI Cloud and which technical use cases developers will care about.
• Build working demos, sample applications, notebooks, deployment templates, and reference implementations around emerging topics.
• Experiment with agents, tool calling, RAG, coding assistants, multimodal generation, video generation, batch inference, and real‑time streaming.
• Translate fast‑moving ecosystem trends into practical developer use cases.

Create Online Tutorials and Technical Content

• Produce high‑quality online tutorials that developers can follow from beginning to end.
• Create technical walkthroughs, integration guides, benchmark comparisons, GitHub repositories, notebooks, videos, and live coding sessions.
• Explain not only how something works, but also why developers should care.
• Identify the strongest highlight in each project, such as a performance improvement, cost advantage, faster deployment process, or new development pattern.
• Turn technical findings into content that is useful, timely, and easy to share.
• Keep tutorials and integrations current as models, APIs, and upstream frameworks change.

Present and Engage Developers

• Deliver technical presentations, webinars, workshops, livestreams, product demonstrations, and conference sessions.
• Present complex AI infrastructure topics in a clear, engaging, and visually compelling way.
• Demonstrate products confidently in front of technical audiences, partners, customers, and online communities.
• Adapt the same technical topic for different formats, from a detailed workshop to a short video or social post.
• Represent GMI Cloud in developer communities, technical events, partner programs, and ecosystem conversations.

Grow the Developer Ecosystem

• Help define how GMI Cloud shows up across GitHub, X, LinkedIn, Reddit, Discord, YouTube, and developer demo days and hackathons.
• Create technical PLG campaigns with the marketing team around important product releases, technical program launches, benchmarks, integrations, and ecosystem partnerships.
• Work with developers, technical creators, open‑source contributors, and tech partners to produce collaborative content.
• Turn tutorials and open‑source projects into repeatable growth loops that drive engagement, signups, first API calls, and production usage.
• Bring developer feedback and emerging ecosystem needs back to the product and engineering teams.

What You'll Bring

• 5-10 years of relevant experience and strong technical skills are required. You must be comfortable working directly with APIs, developer tools, model endpoints, and technical documentation.
• Experience building AI applications, technical demos, developer tools, or model integrations.
• Practical understanding of LLM APIs, streaming, tool calling, structured output, agents, RAG, and inference workflows.
• Experience with AI coding tools such as Claude Code, Codex, Cursor, Cline, or Continue.
• Experience with agent frameworks and orchestration tools such as LangGraph, Dify, or MCP‑based systems.
• The ability to quickly learn and experiment with new models, frameworks, and developer platforms.
• Strong awareness of current AI trends and the judgment to identify which developments are genuinely important.
• Experience creating online tutorials, technical documentation, videos, workshops, or developer education content.
• Basic video editing skills (trimming, captions, simple cuts) and confidence speaking on camera for tutorials, demos, and social content.
• Excellent presentation and public‑speaking skills.
• Strong creative instincts and an understanding of what makes technical content visually compelling and shareable.
• A self‑directed working style and the ability to move quickly from idea to execution.

Location & Travel

• Based in Mountain View, CA and San Francisco, CA, with in‑person collaboration expected.
• Willing to travel approximately 10% of the time to represent GMI Cloud at conferences, hackathons, meetups, and partner or customer events.

Nice to Have

• Familiarity with inference performance concepts such as latency, throughput, TTFT, TPOT, quantization, and KV cache.
• A public portfolio of repositories, tutorials, technical posts, videos, talks, or livestreams.
• Contributions to open‑source AI, inference, serving, or agent projects.
• Background in AI infrastructure, GPU cloud, developer tools, or machine learning engineering.