Senior Solutions Architect

Навыки

• API (интеграции)
• CJM / JTBD
• Google Tag Manager
• HR-процессы
• JSON
• JWT
• Kubernetes

О компании и продукте

• As an Airbyte Senior Solutions Architect, you will have a unique opportunity to elevate your career and make an immediate impact in the rapidly growing data infrastructure sector. In this role, you will play a pivotal part in helping customers implement and adopt our products while serving as their advocate within the company. This includes collaborating with Go-to-Market (GTM), Product, and Engineering teams to refine and enhance the onboarding, implementation, and growth experiences for enterprise customers. You will also work closely with cross-functional teams to support both sales and post-sales efforts, driving improved qualification, faster deal cycles, and higher levels of customer satisfaction and retention. Joining us at this stage means you’ll be on the ground floor of a rapidly expanding Series B startup, with significant opportunities for professional growth and advancement.
• Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents

Задачи

• Technical Implementation
• 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
• Advise customers on integrating LLM-based tooling into their existing data infrastructure alongside Airbyte connectors
• Client Engagement
• 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
• Cross-Department Collaboration
• 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
• Advocacy and Evangelism
• 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
• Airbyte is the data and action layer for AI agents
• We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them

Требования

• 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)
• 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
• Guide customers throughout their customer journey by leveraging your technical expertise and stepping in with hands-on support when needed
• Deep Kubernetes expertise, including hands-on troubleshooting of workloads, pods, networking, storage, and resource management in production
• 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

Условия

• At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow
• Our market-leading Total Rewards package is designed to help you thrive professionally and personally
• Our benefits and perks include
• Flexible PTO with a culture that encourages at least 25 days off annually
• 16 weeks 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 our San Francisco office
• A collaborative, in-person culture focused on learning, growth, and impact
• We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered
• Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
• Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures
• Please let us know if you need assistance or accommodations due to a disability
• We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator
• As our CEO Michel Tricot puts it, "the last ten years were all about structured data
• The future is all about context." We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.