In the last six months AI agents have crossed a meaningful threshold, evolving from turn-by-turn assistance to autonomous systems that reason, plan, and execute complex work without intervention. Intelligence is no longer the bottleneck. Connecting it to real organizational data and workflows is the hard part, and the companies that build the right infrastructure now, while the stack is still being defined, will be difficult to displace.

Airtable is building the platform for human-agent collaboration: a shared operational surface where humans and agents work together on the same data, with the same visibility and the same rules. Omni is the agent at the center of that vision. It lets anyone build apps, automate workflows, and get answers from their operational data through natural language. It's the primary surface through which customers experience AI in Airtable, and the vehicle through which we make good on the promise that Airtable becomes more valuable as AI proliferates.

Think of Omni as a forward-deployed Airtable engineer in every base that understands your data and helps turn anyone into a builder.

This role owns the full Omni experience: the build loop (turning intent into working apps and workflows) and the intelligence layer (analysis, Q&A, and synthesis over operational data). You'll be responsible for making Omni the best way for business users to build and operate AI-powered apps and workflows.

Why this matters now:

• AI is reshaping how software gets built and used. Tools like Lovable, Replit, and Cursor have shown that AI can build real applications, but none of them solve for structured data, collaboration, or enterprise trust. That's the gap Omni is built to own.
• The scope is broad. This role spans the full AI experience in Airtable, from building apps and workflows to configuring agents to analyzing data. You own the primary way customers interact with AI across the product.
• Enterprise customers are ahead of us. Our largest accounts are already running AI-powered workflows and pushing us on what's next. The demand is specific, urgent, and shapes our roadmap directly.
• Massive distribution. Half the Fortune 100 are customers and we have hundreds of thousands of monthly self-serve signups. Omni improvements reach enormous scale immediately.

What you'll do

• Own the end-to-end Omni experience. From the moment a user describes what they need, through app creation, workflow configuration, and ongoing iteration. Omni should feel like an expert consultant, not a chatbot.
• Push the frontier of what Omni can do. Partner closely with engineering to evolve Omni's agent architecture, define how it reasons about and executes multi-step plans, and ensure it compounds with model improvements rather than requiring piecemeal capability additions. As models get smarter, Omni should get smarter automatically.
• Make app building dramatically better. Raise the quality ceiling on what Omni can build: richer interfaces, more sophisticated automations, better data modeling. We should be the best way to build collaborative operational apps.
• Make it easy to start from real data. Most people don't build from a blank canvas. They have messy spreadsheets, file exports, or data living in a warehouse. You'll own the experience of going from "here's what I have" to "here's a working app," making Omni the fastest path from raw data to something useful.
• Define and drive adoption metrics. Establish north star metrics for Omni that capture whether we're making people more successful, build a measurement framework, and use it to drive roadmap prioritization.
• Collaborate across teams. Work closely with the teams that own agents, MCP, integrations, enterprise, and self-serve to ensure Omni is coherent across all surfaces.

Who you are

• Experience shipping AI