Airbyte Visa Sponsorship Jobs USA
Airbyte is an open-source data integration platform known for attracting engineering talent from around the world. The company operates in a visa-sponsoring segment of the tech industry and has a track record of supporting both H-1B visa and Green Card pathways for qualified candidates.
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Get Access To All JobsLocation
San Francisco
Employment Type
Full time
Location Type
On-site
Department
Data & Analytics
Compensation
$220K – $250K • Offers Equity
The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, location, and other relevant job-related considerations.
Airbyte is the open-source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere. We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We’ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.
The Role:
Airbyte is at an inflection point. Our Data Replication business is growing fast and scaling toward profitability, while we launch our Agentic Data Platform, a new product line that will define the next chapter of the company.
We're looking for a Director of Data & Analytics to own the data foundation that powers both businesses, from pipelines and BI tools to the agents our team queries data through, and the strategic insights that shape how we run the company.
This is also a great opportunity to become, or sharpen your skills as, an AI-native data leader. You'll be building for a world where analysts, operators, and executives interact with data through agents as much as dashboards, and where the line between data infrastructure and AI infrastructure is increasingly blurred.
You'll report to the VP of Finance and GM of Data Replication and partner closely with leaders across both business units.
What You’ll Do:
- Own the data platform end to end. Pipelines, warehouse, BI tools, and the data layer that powers internal agents and activations. You'll evolve it as our needs grow, and keep it lean and scalable.
- Shape strategy and decisions. Partner with leaders across the company, bringing sharp insights on usage, growth, retention, and product.
- Power our internal AI workflows. Our finance team, analysts, and operators increasingly query data through agents. You'll build the structured, well-modeled foundation that makes this reliable, and you'll be at the frontier of what "AI-native analytics" actually looks like in practice.
- Support the Agentic Data Platform launch with the data infrastructure that the team needs to ship and learn fast.
- Build the team pragmatically. Balance hiring with external support to stay lean and focused.
What We're Looking For:
- Strong data engineering chops: SQL, modern warehouse stacks (BigQuery or similar), dbt or equivalent, pipeline orchestration. You can build the system, not just direct it.
- A track record of being the strategic data voice in the room, translating product and usage data into decisions executives actually act on. Or clear evidence you're ready to step into that role.
- A strong point of view on simplification. You've built or operated data functions where lean and scalable mattered more than scope.
- Excellent communication. You can hold your own in a board conversation and write a memo that lands.
- Curiosity and energy around AI, whether you're already AI-native or excited to get there fast. You see agents, LLMs, and modern AI tooling as a core part of how data teams will work, not a side project.
- Comfort with ambiguity and pace. Usage-based SaaS, PLG motions, and rapidly evolving product surfaces don't faze you.
Location:
Onsite 5 days/week in San Francisco, CA
If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements!
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. 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.
Location
San Francisco
Employment Type
Full time
Location Type
On-site
Department
Data & Analytics
Compensation
$220K – $250K • Offers Equity
The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, location, and other relevant job-related considerations.
Airbyte is the open-source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere. We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We’ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.
The Role:
Airbyte is at an inflection point. Our Data Replication business is growing fast and scaling toward profitability, while we launch our Agentic Data Platform, a new product line that will define the next chapter of the company.
We're looking for a Director of Data & Analytics to own the data foundation that powers both businesses, from pipelines and BI tools to the agents our team queries data through, and the strategic insights that shape how we run the company.
This is also a great opportunity to become, or sharpen your skills as, an AI-native data leader. You'll be building for a world where analysts, operators, and executives interact with data through agents as much as dashboards, and where the line between data infrastructure and AI infrastructure is increasingly blurred.
You'll report to the VP of Finance and GM of Data Replication and partner closely with leaders across both business units.
What You’ll Do:
- Own the data platform end to end. Pipelines, warehouse, BI tools, and the data layer that powers internal agents and activations. You'll evolve it as our needs grow, and keep it lean and scalable.
- Shape strategy and decisions. Partner with leaders across the company, bringing sharp insights on usage, growth, retention, and product.
- Power our internal AI workflows. Our finance team, analysts, and operators increasingly query data through agents. You'll build the structured, well-modeled foundation that makes this reliable, and you'll be at the frontier of what "AI-native analytics" actually looks like in practice.
- Support the Agentic Data Platform launch with the data infrastructure that the team needs to ship and learn fast.
- Build the team pragmatically. Balance hiring with external support to stay lean and focused.
What We're Looking For:
- Strong data engineering chops: SQL, modern warehouse stacks (BigQuery or similar), dbt or equivalent, pipeline orchestration. You can build the system, not just direct it.
- A track record of being the strategic data voice in the room, translating product and usage data into decisions executives actually act on. Or clear evidence you're ready to step into that role.
- A strong point of view on simplification. You've built or operated data functions where lean and scalable mattered more than scope.
- Excellent communication. You can hold your own in a board conversation and write a memo that lands.
- Curiosity and energy around AI, whether you're already AI-native or excited to get there fast. You see agents, LLMs, and modern AI tooling as a core part of how data teams will work, not a side project.
- Comfort with ambiguity and pace. Usage-based SaaS, PLG motions, and rapidly evolving product surfaces don't faze you.
Location:
Onsite 5 days/week in San Francisco, CA
If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements!
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. 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.
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Get Access To All JobsTips for Finding Airbyte Visa Sponsorship Jobs USA
Target engineering and data roles
Airbyte's sponsorship history is concentrated in technical roles. If you're a software engineer, data engineer, or infrastructure specialist, you're applying for the positions most likely to receive H-1B or Green Card support at a company like Airbyte.
Understand Airbyte's open-source model
Airbyte builds open-source data pipelines, so familiarity with its core product signals genuine interest. Candidates who understand the platform's architecture and community stand out during technical screens and are better positioned to negotiate sponsorship commitments.
Ask about Green Card timelines early
Airbyte has sponsored both H-1B and permanent residency pathways. If long-term U.S. authorization matters to you, ask recruiter contacts directly whether the role has a defined Green Card process, ideally before advancing to final rounds.
Use Migrate Mate to verify current openings
Airbyte's hiring volume fluctuates with funding cycles and product roadmap. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and find active Airbyte roles without sorting through positions that don't support visa applicants.
Align your application to Airbyte's growth stage
As a scaling tech company, Airbyte typically prioritizes candidates who can operate with autonomy in fast-moving environments. Demonstrating startup-relevant skills alongside your visa sponsorship needs increases your chances of moving through the process.
Prepare for a technical-first interview process
Airbyte's hiring in the Technology & Software space means interviews are heavily technical. Coming in with strong system design fundamentals and hands-on data integration experience signals you're worth the sponsorship investment the company will be making.
Airbyte jobs are hiring across the US. Find yours.
Find Airbyte JobsFrequently Asked Questions
Does Airbyte sponsor H-1B visas?
Yes, Airbyte sponsors H-1B visas. The company operates in the Technology & Software industry and has a history of supporting H-1B petitions for technical roles. If you're targeting Airbyte as an H-1B candidate, focus your application on engineering and data-centric positions, where sponsorship support is most consistently offered.
Which visa types does Airbyte sponsor?
Airbyte sponsors both H-1B nonimmigrant visas and Green Card pathways, including EB-2 and EB-3 immigrant visa categories. This means the company can support candidates at multiple stages of their U.S. immigration journey, from initial work authorization through to permanent residency for qualifying employees in eligible roles.
Which roles at Airbyte are most likely to receive visa sponsorship?
Sponsorship at Airbyte is concentrated in technical functions. Software engineering, data engineering, and infrastructure roles are the strongest candidates for H-1B and Green Card support, given the company's core product focus. Business operations and go-to-market roles may see less consistent sponsorship, so it's worth confirming with a recruiter early in the process.
How do I find visa-sponsored jobs at Airbyte?
Migrate Mate is the most reliable way to find open roles at Airbyte with confirmed sponsorship history. The platform filters job listings by verified sponsorship data so you can focus your time on companies that have actually supported visa applicants, rather than relying on job descriptions that may not reflect real hiring intent.
How do I approach the application timeline when targeting Airbyte as a visa candidate?
Start early, especially if you're relying on H-1B cap sponsorship. Airbyte would need to file a registration in March for an October 1 start date. Build in time for the recruitment process, offer negotiation, and petition preparation. If you're on OPT or a grace period, make sure your current work authorization timeline aligns with these windows before applying.
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