Airtable currently has 10 active AI-related job listings. The majority of these roles, 80%, are focused on agents. The dominant function for these positions is Engineering, with 9 out of the 10 roles falling into this category. Hiring is primarily concentrated in the United States, with 7 positions based there. Frequent tech tags associated with these roles include agent orchestration, LLM observability, and RAG. Over the last 30 days, Airtable has posted 1 new AI role, representing an 80% decrease compared to the previous 30-day period.
Currently tracking 4 active AI roles, up 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $177k–$278k (avg $228k).
Airtable currently has 12 active AI-related roles in our index. The most common open titles are: Senior Partner Solutions Architect (2), AI Agent Architect, Customer Experience, Demo Engineer, Pre-Sales Solutions Consulting, Design Technologist, Director, Technical Account Management. Most positions are in Engineering and Product.
Airtable's active AI hiring is concentrated in: agents (75%), data (17%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Airtable is hiring AI talent in: United States (9 roles), United Kingdom (2 roles), Canada (1 role).
Job postings at Airtable most frequently reference: agent orchestration, llm observability, rag, tool use, code gen.
In the past 30 days, Airtable has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Agent Architect, Customer Experience The AI Agent Architect will own the technical foundation for Airtable's AI-native customer support experience, focusing on designing and optimizing AI agent reasoning, retrieval, decision-making, and action execution. This involves architecting knowledge systems, decision logic, and guardrails for reliable and scalable AI resolution, with a strong emphasis on production systems and LLM fluency. | Agent | 8 |
| GTM Engineer GTM Engineer at Airtable to build and automate go-to-market workflows using AI agents, LLMs, and no-code/low-code tools. The role involves developing AI-powered systems for outbound, enrichment, and account research, connecting GTM data flows, and treating systems as products. Requires experience with automation platforms, Salesforce, APIs, and a strong understanding of AI and modern GTM tooling. | Agent |
| 7 |
| Manager, Data Engineering Manager for the GTM & Business Data Engineering team at Airtable, focusing on building and maintaining data pipelines and models that power go-to-market and business operations. The role involves leading a team, setting technical standards, ensuring reliability, and shaping how the team uses AI tools (like Claude skills and Hyperagent) to improve efficiency and deliver insights on AI feature adoption and business performance. | Data | 5 |
| Product Security Engineer Product Security Engineer at Airtable, focusing on securing the application layer of their platform, including AI/LLM powered features. The role involves developing self-service security frameworks, automated guardrails, threat modeling, and securing LLM integrations. Experience in product security, web application security, and securing LLM integrations is required. | — | 5 |
| Software Engineer, Product Backend (8+ YOE) Software Engineer, Product Backend at Airtable, focusing on building systems for AI agents and integrations to interact with Airtable as a platform, making it a central hub for agentic workflows and data operations. | Agent | 5 |
| Demo Engineer, Pre-Sales Solutions Consulting The Demo Engineer will build AI-powered demo infrastructure for the Solutions Consulting team, designing and creating environments, apps, and AI-forward experiences to showcase Airtable's AI capabilities to enterprise buyers. This role involves creating a scalable library of Airtable apps and components, integrating new features, and supporting live customer evaluations. | Agent | 5 |
| Design Technologist This role focuses on evolving Airtable's design system and exploring AI's impact on UI development. The Design Technologist will build and ship components, develop AI tooling for UI coding (e.g., Claude skills, Cursor rules), and partner with cross-functional teams to improve user experience. The role requires a strong blend of design and engineering skills, with a focus on AI-assisted development workflows. | Ship | 5 |
| Software Engineer, Data Software Engineer, Data role focused on building and owning data pipelines for an AI-native platform. This includes instrumenting and measuring AI product usage, building event pipelines for AI agents, and developing AI-powered data discovery tooling like vector search. The role also involves using AI tools daily for pipeline development and debugging, and contributing to the data infrastructure that supports AI product analytics and business operations. | Data | 5 |
| Senior Analyst, People Technology This role focuses on owning and configuring Workday HCM, with a strong emphasis on leveraging AI and automation for HR processes. The Senior Analyst will partner with various teams to design and build scalable solutions, prioritizing automated approaches over traditional configuration. | — | 1 |
| Global Payroll Manager Airtable is seeking a Global Payroll Manager to lead and optimize end-to-end payroll operations across multiple global entities. The role involves ensuring payroll accuracy, compliance, and timely processing, building scalable processes, strengthening audit readiness, and partnering cross-functionally. A key aspect is leveraging AI or automation to streamline payroll processes and improve data accuracy. | — | 0 |
| Software Engineer, Compute (8+ YOE) Software Engineer to lead the next phase of platform maturity in how Airtable runs Kubernetes, focusing on building and evolving the compute platform infrastructure that powers Airtable’s services at scale. This role involves designing, implementing, and scaling core Kubernetes platform capabilities, leading modernization efforts, and improving developer experience around service creation and deployment. | — | 0 |
| Software Engineer, Infrastructure (4-8 YOE) Software Engineer, Infrastructure role at Airtable focusing on building and improving critical product infrastructure, including Kubernetes-based platforms that support AI services like vector databases and AI eval stores. The role involves working on compute, network stack, service discovery, disaster recovery, and developer platform tooling to enhance scalability, efficiency, reliability, and security. | — | 0 |
| Software Engineer, Infrastructure (8+ YOE) Backend engineers to join the infrastructure team to improve critical product infrastructure, focusing on building scalable systems with a great developer experience. This includes work on compute platforms (Kubernetes, network stack, disaster recovery, custom operators) and developer platforms (internal tooling, frameworks, CI/CD). | — | 0 |