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Airbyte
New York, United States
Source: Airbyte careers · View original posting
From Airbyte's posting. “We” and “our” refer to the employer.
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.
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.
Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents.
As an Airbyte Senior Solutions Architect, you will serve as a trusted post-sales technical partner to enterprise customers, helping them successfully onboard, implement, adopt, and expand their use of Airbyte.
You will own the technical customer relationship after the sale, working closely with customer engineering, platform, infrastructure, and data teams to understand their environment, guide implementation, troubleshoot issues, and ensure they are getting long-term value from Airbyte.
This is also a highly hands-on technical role. A major part of the job involves working directly in customer Kubernetes environments to deploy, configure, troubleshoot, and optimize Airbyte in production. You should be comfortable getting into the weeds with customers across workloads, pods, networking, storage, resource management, APIs, databases, CDC, and data movement issues.
You will act as the bridge between customers and Airbyte’s Support, Product, Engineering, and Sales teams, serving as the internal source of truth for customer technical needs while helping drive adoption, retention, and expansion.
Joining Airbyte at this stage means working at the intersection of data infrastructure, cloud platforms, and AI while helping shape how enterprise customers successfully deploy and scale our products.
6+ years of experience in a customer-facing post-sales technical role such as Solutions Architect, Technical Account Manager, Resident Solutions Architect, Professional Services Engineer, Customer Engineer, or technical consultant.
Experience owning long-term technical relationships with enterprise customers across onboarding, implementation, adoption, troubleshooting, and expansion.
Strong, hands-on Kubernetes experience in production environments. You should be comfortable independently troubleshooting workloads, pods, deployments, networking, storage, resource management, logs, and cluster-level issues.
Experience deploying, operating, or troubleshooting applications running on Kubernetes, not just designing or advising on Kubernetes architecture.
Strong understanding of cloud infrastructure and production systems.
Deep understanding of database technologies, including SQL, CDC, database replication, and data synchronization.
Strong knowledge of REST APIs, HTTP, authentication, OAuth, API keys, JWT, webhooks, and JSON.
2+ years of experience in a startup environment, ideally within modern data infrastructure, cloud infrastructure, databases, ELT/ETL, developer tools, or data warehouses.
Experience supporting technically complex products that directly impact customer operations or business productivity.
Strong customer orientation with a track record of driving successful onboarding, implementation, adoption, and ongoing technical outcomes.
Strong interpersonal, communication, and presentation skills.
Ability to build credibility with engineers while also communicating effectively with technical leadership and business stakeholders.
Nice to Have
Experience with Terraform, Helm, cloud networking, or infrastructure-as-code.
Experience with AWS, GCP, or Azure.
Experience with observability, monitoring, and debugging production infrastructure.
Hands-on experience with one or more AI or LLM frameworks.
Exposure to AI agent frameworks, MCP, or prompt engineering.
Experience with modern data infrastructure, ELT tools, data warehouses, or distributed systems.
Location
Remote from New York City / East Coast timezone.
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:
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.
Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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