Airbyte

Senior Solutions Architect

Airbyte • $150K — $180K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years in customer-facing technical roles (e.g., solutions architect, professional services)
  • 2+ years in a startup, preferably in modern data infrastructure
  • Hands-on experience with AI frameworks
  • Familiarity with AI agent frameworks and prompt engineering is a plus
  • Track record of supporting productivity-impacting products
  • Exceptional customer orientation for technical success
  • Strong interpersonal and presentation skills

Responsibilities

  • Lead customer technical projects for Airbyte solution implementation
  • Guide clients through their customer journey with technical expertise
  • Oversee complex troubleshooting of Kubernetes workloads and database technologies
  • Advise customers on integrating LLM-based tools with data infrastructure
  • Collaborate with clients' technical teams to tailor specific solutions
  • Manage technical success with support and product teams
  • Create and showcase technical content demonstrating Airbyte's capabilities

Benefits

  • Flexible PTO, encouraging at least 25 days off annually
  • 16 weeks of fully paid parental leave
  • Comprehensive medical, dental, and vision coverage
  • 401(k) retirement plan
  • Professional development budget and conference sponsorship
  • Commuter benefits and monthly internet reimbursement
  • On-site breakfast and lunch in San Francisco office
Full Job Description
The Role

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.
What You'll Do
Own Post-Sales Technical Success
  • Serve as the primary technical partner for enterprise customers after the sale, owning the technical relationship throughout onboarding, implementation, adoption, and expansion.
  • Build trusted relationships with customer engineering, infrastructure, platform, and data teams.
  • Develop a deep understanding of each customer's architecture, use cases, technical requirements, and long-term goals.
  • Guide customers through implementation and adoption while proactively identifying risks, blockers, and opportunities to improve their deployment.
  • Partner with customers to define technical success and ensure they are realizing measurable value from Airbyte.
  • Coordinate with Airbyte Support, Product, and Engineering to resolve complex customer issues and drive successful outcomes.
  • Act as the internal source of truth for customer technical requirements, infrastructure constraints, product feedback, and feature needs.
  • Identify opportunities for broader adoption and expansion in partnership with Sales and Customer Success.
  • Build long-term technical relationships that improve customer satisfaction, retention, and growth.
Hands-On Kubernetes & Technical Implementation
  • Work directly in customer Kubernetes environments to deploy, configure, troubleshoot, and optimize Airbyte in production.
  • Troubleshoot Kubernetes workloads, pods, deployments, networking, storage, resource allocation, scheduling, logs, and performance issues.
  • Diagnose complex production issues across Kubernetes clusters and work alongside customer engineering teams to identify root causes and implement solutions.
  • Help customers apply Kubernetes best practices related to reliability, scalability, observability, and resource management.
  • Lead technical implementation projects and ensure Airbyte is configured successfully within customer infrastructure, security, and operational requirements.
  • Troubleshoot complex data movement issues involving SQL databases, CDC, database replication, and data synchronization.
  • Work with REST APIs, HTTP, authentication, OAuth, API keys, JWT, webhooks, and JSON to diagnose and resolve integration issues.
  • Advise customers on integrating LLM-based tooling and AI workflows into their existing data infrastructure alongside Airbyte connectors.
Cross-Functional Collaboration
  • Partner closely with Product and Engineering to surface recurring customer challenges and influence the roadmap.
  • Collaborate with Support to resolve complex technical issues and improve escalation paths.
  • Work with Sales to identify technical opportunities for expansion within existing customers.
  • Help improve onboarding playbooks, implementation guides, troubleshooting documentation, and customer best practices.
  • Share customer feedback and technical insights internally to improve the overall enterprise customer experience.
Advocacy and Evangelism
  • Demonstrate Airbyte architecture, implementation patterns, and best practices to customers and at industry events.
  • Serve as a technical ambassador for Airbyte with customers and the broader developer and data community.
  • Evangelize best practices for building reliable, scalable, and AI-ready data infrastructure.
  • Create technical content such as blog posts, demos, implementation guides, and conference talks.
What You'll Need
  • 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.


Why You'll Love Working at Airbyte:

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


If you find this role exciting, we encourage you to apply even if you think you don't meet all of the requirements!

We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered.

About Airbyte

Airbyte is an open-source data integration platform that helps organizations replicate data from applications, APIs, and databases to data warehouses, lakes, and other destinations. The company was founded in 2020 by Michel Tricot and John Lafleur and is headquartered in San Francisco, CA. Airbyte's platform is designed to be easy to use, scalable, and extensible, and it offers a range of features including data transformations, scheduling, monitoring, and more. The company has raised $5.2 million in seed funding to date, and its investors include Accel, Y Combinator, and 8VC.
Learn more about Airbyte
Size
20 employees
Industry
Founded
2020
NASDAQ

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