AirOps Tech Stack

Content engineering platform for AI search visibility and SEO

Software Development San Francisco, CA 51–200 employees Founded 2021 Privately Held

AirOps builds a content engineering platform targeting marketing teams navigating AI search rankings. The tech stack—React, Rails, PostgreSQL, Pinecone, Weaviate, pgvector, plus GPT-4o and Claude—reveals a product centered on vector search and LLM-driven content optimization. Active projects span AI content ML systems, SEO strategy agents, and growth automation, while pain points cluster around scaling integrations and measuring performance across AI-driven ranking platforms. The hiring mix (sales + engineering in near parity, alongside data and product) suggests a sales-led motion into mid-market brands.

Tech Stack 53 technologies

Core StackReact Ruby on Rails Figma TypeScript Tailwind CSS Webpack PostgreSQL Redis Weaviate Pinecone RAG LangChain Hugging Face OpenAI Python Cursor Apache Airflow Prefect dbt Snowflake BigQuery JavaScript WordPress GPT-4o Claude Cohere pgvector XGBoost transformers SQL+23 more

What AirOps Is Building

◆Challenges

Improving search visibility for brands
Balancing execution and strategy
Expanding integrations framework
Scaling recruiting processes
Large datasets without overwhelming users
Optimizing content for ai agents
Predicting performance across ai-driven platforms
Scaling outreach automation
Measuring growth experiment impact
Optimizing user activation

▲Active Projects

Ai content optimization ml system
Ai search behavior analysis ml system
Pricing & packaging
Ai-powered growth workflows
Evolve services delivery playbook
Curriculum development
Integrations framework expansion
Build sourcing bots that generate pipeline at scale
Technical demos for startups
Seo strategy agent

Hiring Activity

Decelerating40 roles · 10 in 30d

Department

Sales

Engineering

Data

Product

Support

Marketing

Finance

Seniority

Mid

Senior

Lead

Manager

Director

Junior

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About AirOps

AirOps helps marketing teams optimize content visibility across AI search engines and traditional SEO. Founded in 2021 and based in San Francisco, the company operates as a content engineering platform—sitting between content production and search performance. The product ingests large content datasets, applies ML-driven optimization (content optimization systems, SEO strategy agents), and surfaces recommendations to marketing teams. Active projects include integrations expansion (framework work suggests API-first distribution) and AI-powered growth workflows. The company is 51–200 employees, hiring across sales, engineering, data, and product roles, with presence in the United States, Canada, and Uruguay.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2021

Hiring MarketsUruguay, United States, Canada

Frequently Asked Questions

What tech stack does AirOps use?

React, TypeScript, Ruby on Rails frontend; PostgreSQL + Redis backend; Pinecone, Weaviate, pgvector for vector search; GPT-4o, Claude, Cohere for LLMs; Apache Airflow, Prefect, dbt for data pipelines; Snowflake, BigQuery for warehouse.

Where is AirOps headquartered and hiring?

Headquartered in San Francisco, CA. Actively hiring in the United States, Canada, and Uruguay across 41 open roles spanning sales, engineering, data, product, support, marketing, and finance.