2 hours ago
Base Salary
$250k - $280k/yr
Responsibilities
- Turn product hypotheses into focused technical experiments and prototypes.
- Work with customers, Product, Design, and customer-facing teams to understand problems and incorporate feedback.
- Evaluate technical approaches and influence product direction.
- Design and implement backend systems, APIs, and infrastructure for AI, data, and developer products.
- Build reliable, observable systems with failure handling, debugging, and operational safeguards.
- Move promising prototypes into production and improve them through usage, incidents, and customer feedback.
- Own architecture and execution across technical design, implementation, rollout, and iteration.
- Lead cross-team technical decisions, align interfaces and dependencies, and influence broader architecture.
Requirements
- 10+ years of software engineering experience building and operating production systems.
- Strong backend engineering fundamentals and distributed-systems design experience.
- Experience with APIs, asynchronous workflows, concurrency, queues, state, retries, or distributed execution.
- Hands-on experience building and shipping AI-powered products using LLMs, agents, RAG, tool calling, MCP, or similar technologies.
- Experience with orchestration systems, workflow engines, developer platforms, or infrastructure products.
- Strong system design skills focused on reliability, scale, observability, and failure modes.
- Ability to lead technical direction across teams and influence architectural and engineering decisions.
- Ability to move quickly from prototype to production while maintaining engineering quality.
- Strong product instincts and comfort working in ambiguous 0-to-1 environments.
- Exceptional written communication, ownership, and focus on shipping.
- Preferred experience operating AI agents in production, including debugging, observability, and evaluation.
- Preferred experience with agent infrastructure, agent platforms, evaluation systems, retrieval systems, vector search, search infrastructure, semantic models, developer tools, platform infrastructure, or third-party SaaS integrations.
- Preferred experience with Kafka, Iceberg, Postgres, Spark, or modern data warehouses.
Benefits
- Flexible PTO with a culture encouraging at least 25 days off annually.
- 16 weeks of fully paid parental leave for all parents.
- Medical, dental, and vision coverage for employees and dependents.
- 401(k) retirement plan.
- Professional development budget, conference sponsorship, and book reimbursement.
- Commuter benefits and monthly internet reimbursement.
- Breakfast and lunch in the San Francisco office.
- San Francisco, California location with an onsite schedule of four days per week.
- Collaborative in-person culture focused on learning, growth, and impact.
Tech Stack
Categories
About Airbyte
Airbyte builds an open-source data integration platform that replicates data from hundreds of sources into warehouses, lakes, and operational systems. It offers both self-hosted OSS and a managed cloud service with enterprise features, serving data teams and companies building production AI agents that need unified, permission-aware access to business data. Founded in 2020 and headquartered in San Francisco, the privately held company supports 600+ connectors.