Airtable Operations Manager
New
Based in the United States, PST working hoursContractManager
Salary70 - 80 USD per hour
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Job Details
- Experience
- 6+ years
- Required Skills
- Node.jsProject ManagementPythonSQLJavascript
Requirements
- 6+ years of experience in technology, operations, consulting, or systems-focused roles.
- Expert-level Airtable knowledge including schema design, automations, scripting, interfaces, and data synchronization.
- Proven ability to reverse-engineer and optimize large, complex, or undocumented Airtable bases.
- Strong systems architecture mindset with the ability to determine when Airtable is appropriate versus more scalable platforms.
- Hands-on coding experience in JavaScript or Node.js (Python acceptable).
- Strong SQL proficiency and comfort working with structured data.
- Experience integrating and automating workflows using tools such as n8n, Tray.ai, or Workato.
- Proven experience managing cross-functional technical projects from discovery through delivery.
- Strong communication skills and ability to work effectively across technical and non-technical stakeholders.
- High autonomy and ability to thrive in fast-changing, loosely structured environments.
Responsibilities
- Partner with stakeholders across product, engineering, and operations to gather requirements and translate them into scalable Airtable solutions.
- Design and build advanced Airtable architectures, including interfaces, schemas, automations, and reporting layers.
- Manage and optimize a large portfolio of 45-50 Airtable bases, including troubleshooting data issues and improving performance.
- Build automations and integrations using low-code/no-code tools such as n8n, Tray.ai, or Workato.
- Develop scripts and lightweight code solutions using JavaScript, Node.js, or Python to extend Airtable functionality.
- Manage full project lifecycles, from requirements gathering through deployment, testing, and monitoring.
- Advise on system architecture decisions, including migration planning from Airtable to enterprise systems.
- Support technical debt reduction and prototype evaluation for experimental use cases.
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