2 months ago
Base Salary
$159k - $255k/yr
Responsibilities
- Lead and execute customer technical projects involving the implementation and deployment of Airbyte solutions.
- Guide customers through their technical journey and provide hands-on support when needed.
- Work directly with client technical teams to understand requirements and tailor solutions.
- Collaborate with Technical Support, Product, and Engineering to address issues and deliver new features.
- Help clients evaluate and adopt AI agent frameworks for autonomous data agents using Airbyte as a data source.
- Collaborate with Sales to identify and drive customer growth opportunities.
- Act as the internal source of truth for customer technical requirements, expectations, and needed functionality.
- Surface customer needs to Product and Engineering teams and influence the roadmap.
- Demonstrate Airbyte’s offering and best practices to clients and at industry events.
- Evangelize best practices for building AI-ready data stacks.
- Create technical content including blog posts, demos, and conference talks about modern AI architectures.
Requirements
- 6+ years of experience in a customer-facing technical role such as solutions architecture, professional services engineering, or consulting.
- 2+ years of experience in a startup environment, ideally involving modern data infrastructure, cloud applications, databases, ELT tools, or data warehouses.
- 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 supporting products that directly impact business productivity.
- Exceptional customer orientation focused on seamless onboarding and ongoing technical success.
- Strong interpersonal and presentation skills.
- Deep hands-on Kubernetes expertise, including troubleshooting production workloads, pods, networking, storage, and resource management.
- Deep understanding of database technologies, SQL, change data capture, database replication, and data synchronization.
- Strong knowledge of REST APIs, HTTP methods, OAuth, API keys, JWT, webhooks, and JSON.
- Ability to advise customers on integrating LLM-based tooling into existing data infrastructure.
Benefits
- Remote from New York City, supporting the East Coast timezone.
- Flexible PTO with a culture that encourages at least 25 days off annually.
- 16 weeks of fully paid parental leave for all parents.
- Comprehensive 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.
- Collaborative, in-person culture focused on learning, growth, and impact.
Tech Stack
Categories
Solutions Engineering
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.
