Director, Technical Account Management

Airtable Airtable · Enterprise · US, Canada · Remote · Customer Support

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.

What you'd actually do

  1. Lead and scale a high-performing team of Technical Account Managers who serve as the persistent technical authority for Premium accounts — ensuring customer environments are built to fully leverage Airtable's platform, including Field Agents, Omni, automation architecture, and the connected data structures that make intelligent workflows perform at scale.
  2. Own the team's technical depth across Airtable's agent capabilities — including Field Agent configuration, data semantics, schema design, MCP connectivity, and automation architecture — so TAMs can guide customers through key architectural decisions and implementation.
  3. Coach and mentor Managers and ICs, building architectural judgment and platform fluency across the team. Foster a culture of ownership and continuous learning that keeps pace with Airtable's rapid product evolution.
  4. Establish and evolve frameworks for how TAMs assess and improve the technical health of Premium accounts — evaluating agent configurations, data semantics, integration coverage, and automation architecture against the full capability of the platform.
  5. Engage directly with customers during critical technical projects or escalations, diagnosing root cause, proposing structural remediation, and representing Airtable as a calm, expert partner.

Skills

Required

  • 10+ years in technical support, solution architecture, or technical account management
  • 5+ years leading enterprise-facing technical teams
  • solutions-architect mindset
  • evaluate a customer's existing build, identify structural risk, and prescribe scalable improvements
  • platform or integration-heavy SaaS environments
  • AI architecture concepts
  • strategic leadership
  • strong operator
  • calm and confident under pressure
  • exceptional written and verbal communication skills
  • analytical and data-informed decision making

Nice to have

  • AI heavily in your own work — not experimentally, but as a core part of how you operate

What the JD emphasized

  • deep experience in platform architecture and integration
  • hands-on fluency with AI agent capabilities
  • strong intuition for which tools and approaches extract real value
  • working fluency in AI architecture concepts relevant to enterprise customers: agent frameworks, MCP connectivity, automation pipelines, and schema design that supports AI-powered workflows
  • building scalable frameworks

Other signals

  • customer success
  • technical account management
  • AI agent capabilities
  • platform architecture