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
About Airbyte
Founded in 2020, Airbyte is the context layer for production-grade AI agents. AI agents fail in production for one reason: they can't see the business. They make scattered API calls at runtime, burn tokens reconciling fragmented data, and break under real workloads. Airbyte solves this by giving agents unified, permission-aware access to the operational data scattered across the tools companies actually run on (CRM, billing, support, product, internal systems) through a hybrid architecture that combines large-scale replication (for cross-system search and discovery) with real-time fetching (for fresh operational state). It's the combination production agents actually need, built on the connector footprint we've hardened over six years. We've raised $181M from Benchmark, Accel, Altimeter, Coatue, Y Combinator, and others. Today, 25,000+ companies sync data with Airbyte's 600+ connectors. Open source remains core to how we build, because the data foundation under your AI agents is too important to be a black box.