Jobs at Airbyte

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.

As a Customer Support Developer at Airbyte, you will troubleshoot database issues, support customer integrations, develop database connectors, and collaborate cross-functionally to enhance database reliability and performance.

As a Customer Support Developer, you'll provide technical support for database-related issues, develop integrations for customers, and collaborate across teams to improve product reliability and performance.

As a Solutions Architect, you will implement Airbyte solutions, guide customer technical projects, and collaborate with cross-functional teams to enhance customer engagement and success.

Lead customer-facing technical implementations of Airbyte, design AI-powered data pipelines and agent integrations, troubleshoot databases and API integrations, collaborate with Sales/Product/Engineering, and create technical content and evangelism to drive adoption and retention.

Sell Airbyte to mid-market technical buyers (CTO/CIO, data engineers/scientists). Manage full deal cycle from prospecting to close, grow accounts via land-and-expand, and provide product and competitive feedback across teams.

Sell Airbyte products into CTO/CIO organizations by managing the full deal cycle from qualification through POC, proposal, negotiation, and close. Build relationships across technical stakeholders, prospect and expand accounts, track a clean pipeline, provide competitive and product feedback, and hit quarterly bookings targets.

Prospect and generate high-quality enterprise sales meetings by outreaching to stakeholders across levels, partnering with Account Executives and GTM Engineers, leveraging personalized outbound sequences and AI-enabled tools, and sharing customer insights to inform GTM, marketing, and product strategies.

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.

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 and evolve an AI-powered Integration Factory and reliable database connectors. Design systems to generate, validate, repair, and maintain connectors; develop tooling, CI/CD, and automation; detect and remediate production issues; participate in on-call rotation; mentor engineers and improve developer productivity.

Build the AI runtime for trustworthy agents: design orchestration, entity resolution, context assembly, connector orchestration, evidence retrieval, permissions and action policies. Own end-to-end features, prototype rapidly, implement evaluation frameworks, and collaborate with Product, Design, and Customer teams to deliver production-grade agent capabilities.

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.

Build and evolve Python systems powering integrations for Airbyte Data Replication and Airbyte Agents. Design extensible frameworks, automation, rollout, and AI-driven tooling to detect, diagnose, and remediate connector failures. Improve operational reliability through self-healing infrastructure, intelligent retries, and platform investments. Partner with Customer Engineering and Support, lead ambiguous projects to production, mentor engineers, and raise technical standards.

Build and scale cloud data replication, control and data plane systems handling millions of sync jobs weekly. Automate platform operations, create internal and AI-powered tooling, improve observability, collaborate on cross-cutting decisions, and mentor engineers while operating and optimizing distributed systems for reliability, performance, and cost.