Senior Technical Account Manager

Posted 2 days ago

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About the role

  • Senior Technical Account Manager implementing Airbyte’s open-source data integration platform for enterprise customers. Troubleshooting Kubernetes, databases, APIs, and AI infrastructure while driving adoption.

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 production Kubernetes workloads, pods, networking, storage, resource management, and deployment issues
  • Troubleshoot complex data movement issues involving SQL, CDC, database replication, and data synchronization
  • Troubleshoot REST API and integration issues involving HTTP methods, authentication, webhooks, and JSON
  • Advise customers on integrating LLM-based tooling into existing data infrastructure alongside 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 for autonomous data agents
  • 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 offerings and best practices to clients and at industry events
  • Serve as a brand ambassador and foster stakeholder relationships
  • 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
  • Public holidays in line with provincial employment standards
  • Comprehensive health coverage – extended health benefits on top of provincial public healthcare
  • Virtual healthcare access
  • Group retirement savings plan
  • Canada/Québec Pension Plan, Employment Insurance and workers’ compensation coverage
  • Professional development budget
  • Conference sponsorship
  • Book reimbursement
  • Equity
  • Commission

Job type

Full Time

Experience level

Senior

Salary

CA$185,000 - CA$222,000 per year

Degree requirement

No Education Requirement

Tech skills

CloudKubernetesSQL

Location requirements

RemoteCanada

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