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Senior Software Engineer
Airops · New York City or San Francisco (Onsite) · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Airops |
| Title | Senior Software Engineer |
| Normalized title | - |
| Department / team | Engineering / Engineering |
| Location | New York City, NY, United States |
| Work model | On Site / On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Airops. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York City. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Airops |
| Source | fde0cd35-c8a9-47b9-8e30-85dfd854def5 |
| ATS provider | Ashby |
Description
About AirOps AirOps is the first end-to-end content engineering platform built for the AI era. In a world where discovery is shifting from traditional search to AI-driven platforms, we help brands get found—and stay found. We are currently in a phase of hyper-growth, having 5x’d our revenue in the last year by helping marketing teams at Ramp, Chime, Carta, and Rippling turn content quality into a durable competitive advantage.
Our platform equips marketers to navigate the new discovery landscape, prioritize high-impact opportunities, and create accurate, on-brand content that earns citations from AI and trust from humans. Backed by Greylock, Unusual Ventures, Wing VC, and Founder Collective, we are building the intelligent systems that will empower the next generation of marketing leaders. AirOps is headquartered in San Francisco, New York and Montevideo.
About the Role As a Senior Software Engineer at AirOps, you’ll help design and deliver core features across our AI-powered platform. You’ll work across the stack—from crafting backend services in Ruby on Rails to building intuitive, performant interfaces with React.
In particular, this role will take ownership of a key initiative to expand and improve our integrations framework—making it easier for users to connect to the tools they already use and enabling new, powerful workflows. You’ll work closely with Product and CX to understand needs, prioritize capabilities, and deliver seamless, reliable integrations.
We’re looking for engineers who thrive in fast-paced environments, take pride in building high-quality products, and are motivated by the opportunity to make meaningful contributions in a collaborative and dynamic team.
Key Responsibilities: Design, develop, and maintain full stack features across the AirOps platform
Collaborate cross-functionally to define technical solutions that meet user and business needs
Write clean, scalable, and well-tested code in both frontend and backend systems
Review code, mentor teammates, and help uphold engineering best practices
Own and improve key parts of the application—from performance to architecture
Stay up-to-date with the latest developments in AI, data, and web technologies
Contribute to a strong culture of experimentation, iteration, and shipping fast
Qualifications: 5+ years of experience building production-ready software across the stack
Proficiency in Ruby on Rails
Solid experience working with React
Experience with modern web development tools (e.g., TypeScript, Tailwind, Webpack, PostgreSQL, Redis)
Strong understanding of RESTful APIs and system design principles
Experience building or maintaining third-party integrations is a plus
Product-minded: able to balance engineering quality with pragmatic trade-offs to move fast
Interest in or experience with Generative AI and related technologies
Demonstrated initiative and aptitude to make independent decisions and resolve complex challenges in a remote environment
Bachelor’s degree in Computer Science or equivalent experience
Nice to Have: Experience working on AI/ML or LLM-based products
Familiarity with CI/CD and cloud platforms (AWS, Heroku, Vercel, ECS)
Experience with observability tools like Datadog or Sentry
Our Guiding Principles Extreme Ownership
Quality
Curiosity and Play
Make Our Customers Heroes
Respectful Candor
Benefits Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Parental Leave
A fun-loving and (just a bit) nerdy team that loves to move fast!
Full job record
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| Board ID | fde0cd35-c8a9-47b9-8e30-85dfd854def5 |
| Provider | ashby |
| Provider Job Key | 3949d7ad-5aa4-4f96-9f73-d9b7f74e276f |
| Title | Senior Software Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York City or San Francisco (Onsite) |
| Department | Engineering |
| Team | Engineering |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | on_site |
| Country | United States |
| Region | NY |
| City | New York City |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/airops/3949d7ad-5aa4-4f96-9f73-d9b7f74e276f |
| Apply URL | https://jobs.ashbyhq.com/airops/3949d7ad-5aa4-4f96-9f73-d9b7f74e276f/application |
| First Seen At | 2026-05-29 07:10:26Z |
| Last Seen At | 2026-06-06 09:45:51Z |
| Last Checked At | 2026-06-06 09:45:51Z |
| Last Changed At | 2026-05-29 07:10:26Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=airops/date=2026-06-06/2026-06-06T09-45-48-652Z-a074955beec50e13c3029ff94a6a5c7c652aa2bba52173e5dcf4a61b7f9fc63c.json |
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