Senior Solutions Architect
Airtable · San Francisco, CA | New York City, NY | Remote (United States) · Customer Success & Services
About this role
Airtable is hiring a senior-level Solutions Architect in the software engineering function as a remote position. The posting calls out experience with LLMs, Prompt Engineering, Salesforce, ServiceNow. Compensation is listed at $191,000–$277,100 per year.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA | New York City, NY | Remote (United States)
- Work mode
- Remote
- Department
- Customer Success & Services
More roles at Airtable
Job description
from Airtable careersAirtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
Airtable is seeking a Senior Solutions Architect to join our Post Sales team and partner with enterprise customers to design and implement complex, AI-enabled Airtable solutions. In this high-impact role, you’ll lead the architecture and delivery of enterprise implementations, translating business workflows into scalable, AI-powered systems that accelerate time-to-value and drive long-term adoption. You’ll work closely with Engagement Managers, Account teams, and Product to shape the future of how organizations leverage Airtable AI to transform their operations.
What you'll do- Architect and deliver paid SOW enterprise Airtable implementations for strategic customers
- Lead scoping and design of Airtable AI solutions during professional services engagements
- Develop repeatable AI solution patterns, including AI workflows, automations, and structured data pipelines
- Establish best practices for data modeling, governance, and AI-enabled workflow design
- Partner with Engagement Managers to scope services engagements and define implementation plans
- Produce solution architecture diagrams, data models, and workflow documentation for enterprise customers
- Drive adoption of Airtable AI capabilities across multiple enterprise implementations