AirOps (Rivington Labs, Inc.) is redefining how brands are discovered in the era of AI. With the shift from traditional search engines to AI assistants like ChatGPT, Claude, and Gemini, the old SEO playbook is collapsing. AirOps provides an end-to-end content engineering platform that helps marketing teams analyze their performance across AI search, prioritize actions, and create high-quality, brand-accurate content at scale. Founded in 2021 by Alex Halliday and Matt Hammel, the company recently raised a $40 million Series B led by Greylock, bringing its valuation to $225 million. Leading brands like Ramp, Webflow, Chime, and Klaviyo use AirOps to secure citations and maintain their visibility as the internet's discovery mechanisms evolve.
Life at AirOps is defined by a fast-paced, high-ownership environment where employees are trusted to operate with autonomy. Reviews highlight a culture that is "genuinely energizing" with "highly engaged" leadership that listens to feedback. However, this is a classic high-growth startup where the hustle is real. As one employee noted, "No one is going to put you in a box, there is a lot of freedom to experiment and find new ways to make an impact." Conversely, the intensity isn't for everyone. The environment is heavily metric-driven, and the workload often exceeds 40 hours a week as the team builds out the infrastructure and playbooks for a rapidly scaling business.
Working at AirOps means being at the forefront of "content engineering." Whether you're an engineer building the orchestration layer that integrates with 40+ AI models or a GTM professional helping enterprise clients transition from traditional SEO to AEO (Answer Engine Optimization), your work directly impacts how the internet's largest brands reach their audiences. The company operates with in-person hubs in San Francisco, New York, and Montevideo, Uruguay, with a strong emphasis on in-office collaboration for most roles. You'll be building tools like "Quill," their AI agent captain, and developing workflows that combine human judgment with automated content generation.
AirOps offers competitive compensation tailored to the high-stakes AI market. Based on available data, engineering and technical roles (such as Solutions Architects) typically see base salaries ranging from $127K to over $200K, with senior GTM and Sales Development leadership roles reaching up to $346K. Job postings for specialized roles like Growth Lead for SEO & AI Search indicate target base salaries between $147K and $257K. Employees generally praise the compensation structure, noting that it aligns well with other top-tier startups and includes equity upside as the company grows.
Interviewing at AirOps is a multi-stage process that typically spans about a week. Candidates report an average difficulty score of 2.8 out of 5. The process generally involves a recruiter screen, followed by one-on-one interviews, technical assessments or skills tests, and sometimes a presentation to a panel. Leadership is known for asking unconventional questions to gauge cultural fit and problem-solving abilities. Given the company's metric-driven culture, candidates should be prepared to demonstrate real-world impact rather than just talking a good game.
Why Join: If you want to define a completely new category in marketing technology, AirOps is the place. The company has strong product-market fit, top-tier backing from Greylock, and a roster of impressive enterprise clients. You'll have the autonomy to build and the opportunity to work alongside smart, driven people in a space that is currently dominating tech conversations.
Why Not: The "churn and burn" reality of early-stage startups is present here. The pace is grueling, the hours are long, and the leadership is intensely focused on metrics. If you require a highly structured environment with predictable hours and extensive hand-holding, the current "wild west" phase of AirOps' growth will likely lead to burnout.
Founded
2021
Employees
51-200
Valuation
$225M valuation / $60M total funding
Work Model
Hybrid / Onsite (San Francisco & New York)
Multi-stage process including recruiter screen, skills tests/presentations, and panel interviews. Fast-paced (avg. 7 days).