Resumo da vaga

Solutions Architect

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

What You’ll Do:

  • 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.
  • Advise customers on integrating LLM-based tooling into their existing data infrastructure alongside Airbyte connectors.

What You’ll Do:

  • 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.

What You’ll Do:

  • 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.

What You’ll Do:

  • 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.

What You’ll Need:

  • 4+ 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).
  • 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 of supporting products that directly impact business productivity.
  • Exceptional customer orientation with a focus on delivering seamless onboarding and ongoing technical success.
  • Strong interpersonal and presentation skills.

Location:

  • Onsite 4 days/week in San Francisco, CA
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