Experience: 6+ years
- Lead and execute impactful customer technical projects, including the implementation and deployment of Airbyte solutions, while ensuring alignment with client requirements and industry best practices.
- Guide customers throughout their customer journey by leveraging your technical expertise and stepping in with hands-on support when needed.
- Design and implement AI-powered data pipeline architectures using frameworks such as LangChain, LlamaIndex, or Haystack to enable intelligent data workflows for enterprise customers.
- Deep understanding of database technologies, including SQL, CDC (Change Data Capture), database replication, and data synchronization concepts , with the ability to troubleshoot complex data movement issues.
- Strong knowledge of REST APIs , including HTTP methods, authentication (OAuth, API keys, JWT), webhooks, and JSON, with the ability to troubleshoot complex integration issues.
- Advise customers on integrating LLM-based tooling into their existing data infrastructure alongside Airbyte connectors.
- Work directly with clients' technical teams to understand their needs and tailor solutions accordingly.
- Managing technical success by collaborating with Airbyte's technical support, Product, and Engineering teams to address issues and deliver new features.
- Help clients evaluate and adopt AI agent frameworks to build autonomous data agents that leverage Airbyte as a data source.
- Collaborate with Sales to identify and drive potential growth opportunities with customers.
- Act as the internal source of truth for customer technical requirements, expectations, and needed functionalities.
- Partner with Product and Engineering teams to surface customer needs, influencing the roadmap.
- Demonstrate the use and best practices of Airbyte's offering to clients and at industry events.
- Serve as a brand ambassador promoting the organization's mission and fostering relationships with key stakeholders.
- Evangelize best practices for building AI-ready data stacks
- Create and deliver technical content (blog posts, demos, conference talks) showcasing how Airbyte enables modern AI architectures.
- 6+ years of experience in a customer facing technical role, such as resident solutions architect, professional services engineer, or consulting role.
- 2+ years of experience in a startup environment, ideally in modern data infrastructure, including cloud applications, databases, ELT tools, data warehouses or related fields (startup implementation experience is a bonus).
- Exposure to AI agent frameworks and prompt engineering best practices is a strong plus.
- Proven track record of supporting products that directly impact business productivity.
- Exceptional customer orientation with a focus on delivering seamless onboarding and ongoing technical success.
Search Senior Solutions Architect jobs near San Francisco (Remote) → Browse all live jobs
This posting was published by Airbyte on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.