Senior Technical Account Manager implementing Airbyte’s data and action layer for AI agents. Guiding enterprise customers through technical adoption, integrations, and AI-ready data architecture.
Responsibilities
Lead and execute customer technical projects, including implementation and deployment of Airbyte solutions
Ensure implementations align with client requirements and industry best practices
Guide customers throughout their customer journey with technical expertise and hands-on support
Troubleshoot Kubernetes workloads, pods, networking, storage, resource management, and deployment issues in production
Troubleshoot complex data movement issues involving SQL, CDC, database replication, and data synchronization
Troubleshoot REST API integrations involving HTTP methods, OAuth, API keys, JWT, webhooks, and JSON
Advise customers on integrating LLM-based tooling with existing data infrastructure and Airbyte connectors
Work directly with clients’ technical teams to understand needs and tailor solutions
Collaborate with technical support, Product, and Engineering to address issues and deliver features
Help clients evaluate and adopt AI agent frameworks
Collaborate with Sales to identify and drive customer growth opportunities
Act as the internal source of truth for customer technical requirements and needed functionality
Partner with Product and Engineering to influence the roadmap
Demonstrate Airbyte’s offerings and best practices to clients and at industry events
Serve as a brand ambassador and foster relationships with key stakeholders
Evangelize best practices for building AI-ready data stacks
Create and deliver technical content including blog posts, demos, and conference talks
Requirements
6+ years of experience in a customer-facing technical role, such as Technical Account Manager, resident solutions architect, professional services engineer, or consulting role
Deep, hands-on Kubernetes experience in production environments, including troubleshooting workloads, pods, networking, storage, resource allocation, and deployment issues
2+ years of experience in a startup environment, ideally in modern data infrastructure, including cloud applications, databases, ELT tools, data warehouses or related fields
Hands-on experience with one or more AI frameworks
Exposure to AI agent frameworks and prompt engineering best practices is a strong plus
Proven track record of supporting products that directly impact business productivity
Exceptional customer orientation with a focus on delivering seamless onboarding and ongoing technical success
Strong interpersonal and presentation skills
Remote from Toronto, supporting East Coast Timezone
Benefits
Flexible PTO with a culture that encourages at least 25 days off annually
16 weeks fully paid parental leave for all parents
Comprehensive medical, dental, and vision coverage for employees and dependents
401(k) retirement plan
Professional development budget, conference sponsorship, and book reimbursement
Commuter benefits and monthly internet reimbursement
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