Demo Engineer, Pre-sales Solutions Consulting

Airtable Airtable · Enterprise · Austin, TX · 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.

What you'd actually do

  1. Design, build, and maintain a scalable library of Airtable apps and components that Solutions Consultants can quickly adapt for customer-facing engagements across industries and use cases.
  2. Build AI-forward demo experiences that showcase Airtable's AI capabilities — agents, automations, interfaces, and integrations — as core product value, not a feature footnote. You'll be expected to stay ahead of the AI landscape and bring that perspective into everything you build.
  3. Identify high-impact demo and internal builds worth scaling and standardize them into library assets the full SC team can deploy.
  4. Partner with Solutions Consultants and Account Executives to translate prospect requirements into polished, story-driven demos that mirror real customer workflows — complete with industry-specific data structures and operational logic.
  5. Collaborate with Product and Marketing to integrate new Airtable features into demo assets as they launch, ensuring the library reflects the current and future state of the platform.

Skills

Required

  • 0-4 years of experience in a technical role (solutions engineering, software development, business intelligence, technical consulting, or adjacent)
  • Hands-on experience with no-code/low-code platforms
  • Ability to build sophisticated Airtable bases (multi-table schemas, linked records, rollups, formulas, views, interface designer pages)
  • Understanding of relational data principles
  • Hands-on experience with AI agents and MCP
  • Exposure to APIs, webhooks, and basic integration patterns (Zapier, Make, REST APIs)
  • Comfort with automation logic (conditional workflows, triggered actions, multi-step sequences)
  • JavaScript literacy (to read, evaluate, and verify AI-generated scripts)
  • Ability to extend Airtable via Scripting extension or API
  • Clear communication with non-technical collaborators
  • Ability to manage multiple projects simultaneously
  • Ability to independently prioritize work

Nice to have

  • Airtable experience or certification

What the JD emphasized

  • AI-powered demo infrastructure
  • AI-forward experiences
  • AI capabilities
  • AI landscape
  • AI agents and MCP
  • automation logic
  • AI-generated scripts

Other signals

  • AI-powered demo infrastructure
  • AI-forward experiences
  • showcase Airtable's AI capabilities
  • agents, automations, interfaces, and integrations
  • hands-on experience with AI agents and MCP