Content Marketing Specialist at Stack AI (W23)
$75K - $120K  •  
The Enterprise AI Platform
New York, NY, US / San Francisco, CA, US
Full-time
1+ years
About Stack AI

Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.

Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.

Our customers use Stack AI to build applications such as:

  • Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
  • Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
  • Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
  • Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.
About the role

Stack AI is looking for a Content Marketing Specialist to help grow our customer base and spread the word about our platform. You will work closely with our founders, sales team, and the rest of the engineering team. Your role will include:

  • Writing social media posts (LinkedIn, X, etc…) to announce our platform's new features and use cases.
  • Recording video tutorials to train new users to use Stack AI and implement typical use cases.
  • Crafting informative blog posts and tutorials to train and attract new organizations to Stack AI.
  • Analyzing how your content performs and optimizing content strategy accordingly.

Overall, you’ll be one of the defining members of our team as we scale to hundreds of organizations over the next year.

Technology

Our tech stack includes:

  • Frontend: Next.js + Tailwind (Typescript)
  • Backend: FastAPI + Supabase (Python)
  • Databases: PostgreSQL + MongoDB

And we have internally built a super easy-to-use Machine Learning framework tailored to using Large Language Models in a flow-like sequence (akin to Pytorch + Langchain if you are familiar with those). It allows you to seamlessly integrate new functionality into the code base and we are also discussing whether to open-source it since it feels like magic!

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