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 StackAI

StackAI is a no-code AI workflow platform that empowers companies to build, deploy, and scale AI-powered workflows easily. With thousands of users and rapidly growing enterprise adoption, our mission is to democratize access to LLMs and bring AI into the hands of every business operator, not just developers. Backed by Y Combinator and leading investors, we’re building the foundational platform for the AI-driven future of work.

The Role

We are looking for a Sales Engineer to partner with our sales team and customers to unlock the power of StackAI’s platform. This role sits at the intersection of technical expertise and customer-facing execution—you’ll be the go-to resource for demonstrating value, building workflows, and ensuring prospects and customers succeed with StackAI.

The ideal candidate has startup experience, thrives in fast-paced environments, and has solved these challenges before: helping customers understand emerging technology, separating good use cases from bad ones, and accelerating adoption through hands-on engagement.

What You’ll Do

• Conduct demos of StackAI for prospective customers, tailoring to their use cases.

• Design and build workflows inside StackAI to show customers how their problems can be solved with our platform.

• Evaluate customer use cases alongside the sales team, identifying high-value opportunities versus low-fit scenarios.

• Answer technical questions during the sales cycle, ensuring customers have confidence in our platform.

• Run bootcamps and workshops for customers and prospects to deepen adoption and understanding.

• Develop reusable workflow templates that can be shared across customer teams and back into our product library.

• Serve as a bridge between sales, product, and engineering , sharing customer insights that inform roadmap decisions.

What We’re Looking For

• 2+ years of experience in a Sales Engineer, Solutions Engineer, or similar technical customer-facing role.

• Proven success at a high-growth SaaS startup ; experience in AI or developer tools is a strong plus.

• Strong technical acumen with the ability to quickly learn and apply new technologies.

• Excellent communication and storytelling skills—you can simplify complex concepts for any audience.

• Comfortable building in front of customers and running live demos/workshops.

• A problem-solver who enjoys collaborating with sales, product, and customers alike.

• We prefer candidates in New York City , but we are open to exceptional remote talent.

Why Join Us

• Shape the customer-facing technical foundation of a YC-backed Series A AI company.

• Work directly with founders and early team members on high-impact customer engagements.

• Have massive ownership in building repeatable playbooks for growth and customer success.

• Competitive compensation, meaningful equity, and the opportunity to define the future of AI-powered workflows.

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!