Base Optimization Specialist

Airtable Airtable · Enterprise · London, United Kingdom · Customer Support

This role focuses on optimizing customer use of the Airtable platform, including identifying and implementing improvements to data modeling, automation, and interfaces. It involves direct customer interaction to assess, restructure, and rebuild their Airtable environments, framing recommendations around business impact and identifying opportunities to expand platform usage, including AI capabilities. The role also involves feeding back customer usage patterns to internal product and engineering teams.

What you'd actually do

  1. Conduct customer calls to diagnose structural and architectural issues in how customers have built their Airtable environments. You'll assess data modeling, linked record strategy, automation design, interface configuration, and identify where the architecture is limiting the customer's outcomes.
  2. Restructure and rebuild. You won't just advise, you'll get into the base and demonstrate better alternatives. Optimization at Airtable means reshaping how a customer's environment is built so it scales, performs, and unlocks capabilities they couldn't access before.
  3. Frame every recommendation around business impact. Customers need to understand why a restructured base matters to their workflow, not just what changed. You connect architectural decisions to the outcomes their team cares about.
  4. Identify opportunities to expand how customers use the platform, including automation workflows, interfaces for different user personas, and AI capabilities where they add value to the restructured environment.
  5. Surface patterns in which customers consistently outgrow their initial architecture and feed that signal back to product, engineering, and the broader support organization.

Skills

Required

  • consultative, customer-facing technical role in B2B SaaS
  • leading a call
  • diagnosing a problem live
  • walking a customer through the fix
  • relational data modeling
  • relational databases
  • automation logic
  • workflow design
  • clear communicator

Nice to have

  • APIs
  • webhooks
  • scripting

What the JD emphasized

  • customer calls
  • restructure
  • rebuild
  • optimization
  • AI capabilities