Senior Technical Account Manager

This is a fully remote position, open to applicants in Canada.

📋 Description

• Oversee and implement customer technical projects, including the deployment and integration of Airbyte solutions

• Ensure that implementations meet client specifications and adhere to industry best practices

• Provide guidance to customers throughout their journey with technical expertise and hands-on assistance

• Diagnose issues related to Kubernetes workloads, pods, networking, storage, resource management, and deployment in production environments

• Resolve complex data movement challenges involving SQL, CDC, database replication, and data synchronization

• Address REST API integration issues involving HTTP methods, OAuth, API keys, JWT, webhooks, and JSON

• Offer advice to clients on how to integrate LLM-based tools with current data infrastructure and Airbyte connectors

• Collaborate directly with clients’ technical teams to understand their needs and customize solutions accordingly

• Work alongside technical support, Product, and Engineering teams to resolve issues and implement features

• Assist clients in assessing and adopting AI agent frameworks

• Partner with Sales to identify and pursue customer growth opportunities

• Serve as the go-to resource for customer technical requirements and necessary functionalities

• Collaborate with Product and Engineering to shape the roadmap

• Showcase Airbyte’s offerings and best practices to clients and at industry events

• Act as a brand ambassador and build relationships with key stakeholders

• Promote best practices for developing AI-ready data stacks

• Create and present technical content including blogs, demos, and conference presentations

⛳️ Requirements

• A minimum of 6 years of experience in a customer-facing technical position, such as Technical Account Manager, resident solutions architect, professional services engineer, or consulting role

• Extensive hands-on experience with Kubernetes in production settings, including troubleshooting workloads, pods, networking, storage, resource allocation, and deployment issues

• At least 2 years of experience in a startup environment, preferably within modern data infrastructure, including cloud applications, databases, ELT tools, data warehouses, or related sectors

• Practical experience with one or more AI frameworks

• Familiarity with AI agent frameworks and prompt engineering best practices is highly advantageous

• Proven success in supporting products that directly enhance business productivity

• Exceptional customer focus with an emphasis on ensuring smooth onboarding and continuous technical success

• Strong interpersonal and presentation abilities

• Remote work from Toronto, supporting the East Coast Timezone

🏝️ Benefits

• Flexible PTO with a culture that promotes taking at least 25 days off annually

• 16 weeks of fully paid parental leave for all parents

• Comprehensive medical, dental, and vision insurance for employees and their dependents

• 401(k) retirement plan

• Budget for professional development, conference sponsorship, and book reimbursement

• Commuter benefits and monthly reimbursement for internet costs

• Breakfast and lunch provided in our San Francisco office

• Equity options

• Commission structure