Jobs at Airbyte

Support customers with complex database integration issues while contributing directly to Airbyte’s Java and Kotlin open-source connectors. Troubleshoot replication, CDC, query performance, authentication, networking, schema evolution, and warehouse or lake destinations. Reproduce bugs, inspect logs and query plans, improve connector reliability, review community contributions, and collaborate with Engineering, Product, Solutions, Sales, and Customer Success. The role also includes technical documentation, mentoring support engineers, customer onboarding, and developing AI-assisted troubleshooting processes.

Own the full enterprise sales cycle for Airbyte, from prospecting and discovery through negotiation and closing. Manage enterprise accounts, build pipeline, lead complex multi-stakeholder evaluations, engage technical and executive buyers, develop value-based business cases, and achieve bookings targets. Collaborate with Solutions Engineering, Product, Marketing, Engineering, and Customer Success while navigating security, legal, procurement, and commercial processes.

Own the full enterprise sales cycle from prospecting through close, managing inbound and outbound opportunities across strategic accounts. Build executive and technical relationships, lead discovery, quantify business value, manage technical evaluations, navigate procurement and negotiations, maintain pipeline and forecasts, and achieve bookings targets. The role requires selling complex SaaS, cloud, data, or developer-tool solutions to enterprise customers using MEDDPICC and value-based selling.

Supports customers with database integration issues while developing and debugging Airbyte’s Java and Kotlin database connectors. Investigates replication, CDC, query performance, authentication, networking, schema evolution, and sync-state problems across databases, warehouses, and data lakes. Reproduces bugs, contributes to open-source code, collaborates with Engineering and Product, supports enterprise onboarding, mentors technical support staff, and creates troubleshooting documentation and automation playbooks.

Lead technical implementations and deployments for enterprise customers, troubleshoot Kubernetes, database, data movement, and API issues, and guide customers through adoption and technical success. Partner with Sales, Product, Engineering, and Support to improve onboarding, influence product direction, identify growth opportunities, and resolve customer needs. Demonstrate Airbyte and AI-ready data practices through technical content, demos, and industry presentations.

Lead enterprise customer implementations and deployments of Airbyte solutions, troubleshoot Kubernetes, database, data movement, and API issues, and guide customers through technical adoption. Partner with Sales, Product, Engineering, and Support to improve onboarding, resolve issues, influence the roadmap, identify growth opportunities, and promote AI-ready data architectures through demos, content, and industry presentations.

Own and improve infrastructure for the Data Replication platform: Kubernetes, CI/CD, secrets, networking, cloud (AWS/GCP). Drive reliability, observability, AI-augmented tooling, canary rollouts, incident reduction, runbooks, and partner with product engineers.

Build internal platform products and user-facing features across the full stack using React/TypeScript and scalable backend services. Create developer tools, deployment dashboards, observability and automation to improve developer experience, reliability, and operations. Collaborate with SREs, product, and design; mentor engineers and drive platform engineering standards.

Lead and grow a Platform engineering team owning cloud infrastructure, CI/CD, deployment automation, observability, and reliability. Drive platform roadmap, incident response, automation to reduce toil, and adoption of AI-assisted engineering workflows while balancing velocity and long-term architecture.

Lead customer technical implementations of Airbyte, troubleshoot Kubernetes and data integration issues (SQL, CDC, replication), advise on REST API integrations and LLM/AI tooling, collaborate with Sales/Product/Engineering, drive onboarding and adoption, and create technical content and evangelism for AI-ready data stacks.

Own day-to-day accounting operations and reporting (GL, AP/AR, month-end close) ensuring US GAAP compliance. Manage a Senior Accountant and outsourced accounting team, shorten and automate the close, support audits, apply ASC 606/842, implement accounting systems, partner cross-functionally, and perform variance analysis. Grow to lead the accounting function and drive automation using modern tooling and AI.