Base Optimization Specialist

Since our EMEA launch in 2022, Airtable has established a strong regional footprint. From our new EMEA headquarters at Borough Yards in London to our growing teams across France and Germany, we're bringing Airtable closer to our customers and deepening our commitment to their success. 

As we continue to scale, we are highly invested in what matters most - our people. We believe great products are built by great people, which is why we're looking for exceptional talent to help shape the future of Airtable.

Airtable's Ask an Expert function works directly with customers via live calls to assess, restructure, and optimize how they've built on the platform. Sometimes that means resolving architectural limitations in a customer's current environment. Sometimes it means showing them what's possible with capabilities they haven't discovered yet, from AI and automations to interfaces and integrations. We meet customers where they are and help them take the next step.

• →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.
• →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.
• →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.
• →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.
• →Surface patterns in which customers consistently outgrow their initial architecture and feed that signal back to product, engineering, and the broader support organization.
• →Stay current on platform evolution, particularly around AI capabilities, automation architecture, and integration patterns, so your recommendations reflect what the platform can do today.

• You're a builder with an optimization mindset. You look at a messy database and see the clean architecture underneath it. You understand relational data modeling and can restructure a customer's environment with purpose, not just tidiness.
• You've worked in a consultative, customer-facing technical role in B2B SaaS, whether that's solutions consulting, technical support, customer engineering, or similar. You're comfortable leading a call, diagnosing a problem live, and walking a customer through the fix.
• You use AI in your own work to accelerate research, prototype solutions, and move faster through unfamiliar problems.
• You're a clear communicator who can adjust their explanations to a non-technical or a highly technical stakeholder on why their single-table design is limiting them and what linked records would unlock, without making them feel like they built it wrong.
• You're naturally curious about how people build things and why they make the choices they do. You ask good questions before you start recommending changes.
• You have experience with relational databases, automation logic, and workflow design. Familiarity with APIs, webhooks, and scripting is a plus.