Solutions Architect

About the Role

The day-to-day responsibilities of a Solutions Architect at Airbyte involve a blend of technical implementation, client engagement, and cross-department collaboration. This includes leading impactful customer technical projects, guiding customers through their journey with Airbyte, and designing AI-powered data pipeline architectures. Given the company's focus on product-led growth and its commitment to staying at the forefront of data infrastructure for AI agents, the role also involves evangelism and advocacy for Airbyte's offerings and mission.

Airbyte's environment is dynamic, with a strong emphasis on experimentation, innovation, and rapid movement, even as it has secured significant funding to explore new paths in the AI-native landscape. This backdrop means that a Solutions Architect must be adaptable, forward-thinking, and passionate about the potential of data to drive AI innovation.

What You Will Do

• Lead and execute impactful customer technical projects, focusing on the implementation and deployment of Airbyte solutions.
• Guide customers throughout their journey, leveraging technical expertise and providing hands-on support as needed.
• Design and implement AI-powered data pipeline architectures for enterprise customers.
• Advise customers on the integration of Large Language Model (LLM) based tooling into their existing data infrastructure.
• 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 product 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 showcasing how Airbyte enables modern AI architectures.

What We Are Looking For

• 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.
• Strong understanding of data infrastructure and its role in supporting AI applications.
• Experience with GTM strategies and implementation.
• Ability to collaborate effectively with cross-functional teams, including Sales, Product, and Engineering.
• Technical expertise in designing and implementing data pipelines and architectures.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced, dynamic environment.
• Passion for data and AI innovation.

Nice to Have

• Experience with AI agent frameworks and their integration with data infrastructure.
• Knowledge of LLM-based tooling and its applications.
• Familiarity with frameworks such as LangChain, LlamaIndex, or Haystack.
• Experience in creating technical content and presenting at industry events.
• Certification in data engineering or a related field.

Benefits and Perks

• Opportunity to work with a cutting-edge data infrastructure company at the forefront of AI innovation.
• Collaborative, dynamic work environment with significant opportunities for growth and professional development.
• Competitive compensation package, reflecting the company's commitment to attracting top talent.
• Comprehensive health benefits, recognizing the importance of well-being for all employees.
• Flexible working hours and remote work options, aligning with the modern workforce's needs.
• Professional development opportunities, including training, conference attendance, and education assistance.
• Access to the latest technologies and tools in data infrastructure and AI.
• Equity options, allowing employees to share in the company's success.

• Highlight your GTM experience: Emphasize your understanding of Go-to-Market strategies and how they apply to customer technical projects and growth opportunities.
• Build a portfolio of technical projects: Showcase your ability to design and implement AI-powered data pipeline architectures and other relevant technical initiatives.
• Stay updated on industry trends: Demonstrate your awareness of the latest developments in data infrastructure, AI, and related technologies.
• Prepare to talk about customer success stories: Be ready to discuss how you've guided customers through their journey with similar products or services.
• Show enthusiasm for Airbyte's mission: Express your passion for making data available and actionable, and how you see yourself contributing to this goal.
• Practice presenting technical information: Be prepared to communicate complex technical concepts clearly and effectively, both in writing and verbally.
• Research Airbyte's competitors and market position: Come prepared with questions about how Airbyte differentiates itself and its approach to innovation in data infrastructure for AI agents.