Airtable

Airtable is seeking an AI Analytics Engineer to build and maintain the context layer, evaluation frameworks, and adoption strategy for internal AI analytics tools. This role involves building AI agent systems, designing evaluation frameworks, and developing automated insight generation systems to enable self-service analytics.

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.

Senior Partner Solutions Architect role focused on integrating AI capabilities, particularly agentic workflows, into partner-led solutions on the Airtable platform. The role involves solution architecture, customer/partner collaboration, AI/ML best practices, and partner enablement within the enterprise SaaS space.

Airtable is seeking an AI Analytics Engineer to build the next generation of analytics infrastructure and tooling with an AI-first approach. The role will own financial data models and analytics infrastructure, build scalable data pipelines, dashboards, and AI-powered systems to enable self-serve insights. Key responsibilities include developing trusted data models, dbt pipelines, dashboards, enabling data independence for Finance stakeholders, establishing an AI Business Context layer, developing tools for natural language access to financial data and AI-assisted reporting, and designing AI-powered workflows to surface patterns and anomalies. The role also involves serving as a primary data partner for FP&A, Accounting, and Finance leadership, driving adoption of analytics and AI tooling, and developing expertise in Airtable's financial data models and BI tools.

This role focuses on advising partners and customers on integrating AI capabilities, specifically agentic workflows, into Airtable solutions. The Senior Partner Solutions Architect will champion the use of Airtable's AI features, guide on AI/ML best practices and responsible AI, and stay updated on generative AI and machine learning trends relevant to the low-code/no-code space. The role also involves creating thought leadership content and enabling partners to build AI-powered solutions on the Airtable platform.

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.

Senior Solutions Architect to partner with enterprise customers to design and implement complex, AI-enabled Airtable solutions. This role will lead the architecture and delivery of enterprise implementations, translating business workflows into scalable, AI-powered systems. Responsibilities include architecting and delivering paid SOW enterprise Airtable implementations, leading scoping and design of Airtable AI solutions, developing repeatable AI solution patterns, and driving adoption of Airtable AI capabilities.

Lead and scale a team of Technical Account Managers (TAMs) responsible for the technical relationship with strategic customers, focusing on how they build, deploy, and scale intelligent workflows on Airtable's platform. This role requires deep experience in platform architecture, integration, and hands-on fluency with AI agent capabilities, ensuring customers can run Airtable as mission-critical infrastructure.

Product Manager to reimagine Airtable's setup and onboarding experience using AI-powered personalization, moving beyond generic tours to create tailored paths based on user role, use case, and intent. The role focuses on the full funnel from signup to sustained engagement, driving user success and building a rigorous experimentation practice.