
51 - 200 employees
Founded 2020
☁️ SaaS
🤝 B2B
🤖 Artificial Intelligence
💰 $150M Series B - Airbyte on 2021-12
SaaS • B2B • Artificial Intelligence
Airbyte is an open-source data integration platform that provides ETL/ELT, data replication, and connector infrastructure for moving and activating data across databases, warehouses, lakes, and applications. It offers both a developer-friendly open-source core and commercial SaaS/enterprise offerings with connectors, an Agent Engine to power AI agents and real-time workflows, and features for security, governance, and high-throughput pipeline management. Airbyte is used by data teams to build, operate, and scale data pipelines and to feed analytics, BI, machine learning, and GenAI systems.
🔥 0 minutes ago
🇨🇦 Canada – Remote
💵 CA$89k - CA$105k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📞 Support Engineer
👻 Ghost score 0%
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51 - 200 employees
Founded 2020
☁️ SaaS
🤝 B2B
🤖 Artificial Intelligence
💰 $150M Series B - Airbyte on 2021-12
SaaS • B2B • Artificial Intelligence
Airbyte is an open-source data integration platform that provides ETL/ELT, data replication, and connector infrastructure for moving and activating data across databases, warehouses, lakes, and applications. It offers both a developer-friendly open-source core and commercial SaaS/enterprise offerings with connectors, an Agent Engine to power AI agents and real-time workflows, and features for security, governance, and high-throughput pipeline management. Airbyte is used by data teams to build, operate, and scale data pipelines and to feed analytics, BI, machine learning, and GenAI systems.
• Respond to customers via email, ticketing systems, and occasional video calls • Triage and prioritize incoming issues while meeting SLA targets and using AI tools to resolve issues faster • Troubleshoot complex issues across APIs, connectors, data pipelines, and SaaS integrations • Partner with Engineering to identify root causes and drive fixes • Document and reproduce customer-reported bugs • Support embedded platform customers through onboarding and troubleshooting, including OAuth flows, widget tokens, scoped API tokens, and connector configuration • Help customers build and debug integrations using Airbyte and third-party APIs • Test and validate API endpoints and review request/response payloads • Support the Embedded API and Airbyte MCP, including source creation, connector template management, and widget token authentication • Support customers using the Airbyte Connector SDK, YAML connector definitions, OpenAPI specs, and cassette-based testing workflows • Stay current on APIs, connector releases, and platform updates • Represent the customer voice to Engineering and Product and advocate for feature requests • Partner with Engineering on platform feedback, connector gaps, and SDK usability issues • Partner with Sales and Customer Success on technical conversations, onboarding, and expansion efforts • Create and maintain internal and external knowledge base articles, troubleshooting guides, and API documentation • Document research and troubleshooting processes • Identify AI-driven automation and process improvements • Lead initiatives addressing organizational or support gaps and own unique projects
• 3+ years in technical support, data engineering, DevOps, QA, or a similar role supporting developers or technical users • Hands-on experience with RESTful APIs and GraphQL, including OAuth, pagination, webhooks, rate limiting, and error handling • Proficiency with API testing tools like Postman or cURL • Understanding of cloud platforms (AWS, GCP, or Azure) and data integration concepts including ELT/ETL workflows • Strong troubleshooting instincts and clear communication with both technical and non-technical stakeholders • Growth mindset and high tolerance for ambiguity • Demonstrated use of AI tools to speed up troubleshooting or automate a workflow, such as agents, MCP, or prompt and context engineering • Natural self-starter • Familiarity with Python, Java, or Kotlin; CI/CD pipelines; and GitHub • Experience with Kubernetes or Docker and multi-tenant architectures • Background supporting developer-facing or embedded/platform products in a B2B SaaS context • Familiarity with OpenAPI specs, YAML configuration, and Jinja expressions • Experience with SQL and databases, including CDC setups • Ability to work remotely from Canada, 8am–5pm Eastern Time
• 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 to doctors and other care providers online • Retirement savings – a group retirement savings plan • Canada/Québec Pension Plan, Employment Insurance and workers' compensation coverage • Professional development budget • Conference sponsorship • Book reimbursement • Generous equity package
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