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 Head of Growth to accelerate StackAI’s go-to-market engine across marketing, product-led growth, and sales enablement. This is a critical leadership role where you will define and execute growth strategies to scale customer acquisition, conversion, and expansion. You will collaborate closely with our founders, product, and sales teams to turn StackAI into the category-defining platform for AI workflows.

We want someone who thrives at the intersection of B2B SaaS growth strategy and hands-on execution. Experience in AI or developer tools is a plus, but strong fundamentals in SaaS growth are most important.

What You’ll Do

• Own and scale growth strategy across acquisition, activation, retention, and monetization.

• Drive GTM experiments across channels (paid, organic, partnerships, content, community, events) to uncover scalable growth levers.

• Build and lead the growth team , hiring across demand generation, marketing operations, and lifecycle marketing.

• Partner with product and engineering to design growth loops (free-to-paid conversion, viral workflows, usage expansion).

• Collaborate with sales leadership on pipeline growth, lead qualification, and campaign ROI.

• Define and track KPIs (CAC, LTV, funnel conversion, churn) and implement data-driven optimizations.

• Represent StackAI externally at events, panels, and thought leadership opportunities.

What We’re Looking For

• 5+ years experience in growth, marketing, or go-to-market strategy at high-growth B2B SaaS companies.

• Proven track record of scaling revenue and user adoption through structured growth playbooks.

• Strong analytical and data-driven mindset; comfortable with funnel metrics, experimentation, and attribution.

• Experience collaborating with product-led growth models or self-serve SaaS.

• Bonus: Experience in AI, dev tools, or productivity platforms.

• Excellent storytelling and communication skills, you can inspire internal teams and external audiences alike.

• Preference for candidates based in the Bay Area or New York, though we are open to exceptional remote talent.

Why Join Us

• Be part of a YC-backed Series A startup building the foundational layer for enterprise AI adoption.

• Work directly with MIT PhD founders and early team members to shape company strategy and culture.

• Have massive ownership over growth strategy and execution.

• Competitive compensation, meaningful equity, and the chance 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!