About Stack AI:
- Vision: Democratize access to Large Language Models, so that anyone can build AI-powered applications that generate positive impact to the world.
- Product: A user-friendly and intuitive No-Code platform integrating best AI models (OpenAI, Anthropic, Google, open source), most common data sources (OneDrive, Google Drive, Airtable, Notion) and SaaS (Zapier, HubSpot, etc.). We do the heavy-lifting for you, so you can focus on the product and business.
- Traction: Launched 8 months ago; over 35,000 users and 300+ paying customers (including public companies and unicorns!).
- Team: Founded by two MIT PhDs, backed by major investors such as Y Combinator and Gradient Ventures, we are now a four-engineer team.
- Values: Default to action, radical transparency, boldness, and strong opinions loosely-held.
Responsibilities:
We need 10X engineers to make this happen! True wizards that can deliver on a daily basis in the high-paced environment.
In this role you will...
- Develop and maintain high-quality user interfaces using React, TypeScript, and CSS.
- Take full ownership of Stack AI's landing page and its subpages, ensuring they effectively communicate our value proposition and product offerings to the global audience. Continuously enhance these pages, aiming to set them as benchmarks of our product's excellence and our team's quality.
- Collaborate with backend team to integrate new features seamlessly into the user interface.
- Work closely with the design team to translate visual concepts into functional online experiences.
- Focus on user experience design, creating intuitive and innovative interfaces that meet the needs of our users.
- Stay abreast of emerging frontend technologies and advocate for their adoption where appropriate.
- We're all about our users - listen to their needs, help them, build strong relationships! Expect to dive into customer support now and then as everyone else in the team.
Required Skills and Qualifications:
You will be a great fit if you have...
- Proficiency in React, Next.js, TypeScript, and CSS, with experience in Tailwind CSS being highly desirable.
- Strong understanding of frontend development tools and methodologies.
- Experience with responsive and adaptive design.
- Good understanding of SEO principles and ensuring that the application will adhere to them.
- Ability to write clean, readable, and maintainable code.
- Strong problem-solving skills, attention to detail, and a user-centric mindset.
- Excellent communication skills and the ability to work effectively in a collaborative team environment.
Preferred Qualifications:
You will be an exceptional fit if you also have...
- Experience with backend technologies, understanding how to integrate with various APIs and data sources.
- Knowledge of AI models and their application in enhancing frontend functionalities.
- Familiarity with modern front-end build pipelines and tools.
- A passion for AI and technology, with an eagerness to work in a dynamic startup environment.
Beyond these skills, what we value the most is your ability to remain curious and open to learning new skills. As a early-stage startup joiner, you may need to wear many hats.
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.
