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.

AirOps is building its platform engineering function from scratch. You'd be one of the first few US-based hires owning the infrastructure that every engineer at the company ships on. Today, deployment requires manual steps that have caused production outages. Dev environments don't match prod. Observability generates more noise than signal. These platform hires build the foundation they need to be productive on day one. This is not a maintenance role on mature systems. You'll design and ship the deployment pipeline, health checks, alerting, and developer tooling that the entire engineering org depends on. The problems are real, the backlog is full, and the work has direct leverage on how fast the company moves.

What you'll own

The deployment pipeline end to end: CI/CD from commit to production, including staging build gating, automated rollback, and zero-manual-step deploys
Environment parity across dev, staging, and production: DB initialization, auth configs, integration consistency, and review apps that actually reflect reality
Incident reduction infrastructure: app-level health checks, migration safeguards, automated alerting on deploy failures, and deployment guardrails that prevent the class of outages we've had
Observability that produces signal, not noise: fixing false-positive exceptions, making request time metrics useful, and cleaning up tech debt in service naming
Agentic coding integration: evaluating and deploying AI-assisted developer tooling (automated bug trackers, code review automation, environment provisioning) to accelerate engineering productivity
ECS operations and infrastructure management: running tasks, container orchestration, RDS, and new environment setup

What you'll bring

5+ years building and improving CI/CD pipelines across dev, staging, and production environments. You've designed these systems, not just consumed them.
Production AWS experience with ECS, RDS, and related services. You can debug infrastructure issues live, not just provision from templates.
A mix of startup and larger-scale experience. You know what "good enough for now" looks like at a 50-person company and what breaks when you don't invest at 200.
A track record of eliminating deployment toil. You've automated away manual steps, built guardrails, or redesigned workflows that measurably improved reliability.
Opinions about developer productivity backed by action. You've shipped tooling or process improvements because you saw the need, not because it was on your sprint board.
Solid fundamentals in database operations and security practices in production environments.
Hands-on use of agentic coding tools in real workflows, with a clear view of both the upside and the limitations