Search Atlas Tech Stack

AI agents for multi-channel performance marketing campaigns

Software Development New York, New York 51–200 employees Privately Held

Search Atlas builds autonomous agents that manage SEO, paid search, and social advertising campaigns end-to-end. The stack reveals a backend-heavy Python + Django + PostgreSQL foundation layered with React/Next.js frontend and video processing tools (Premiere, DaVinci Resolve), suggesting both internal content production and customer-facing campaign visualization. Pain points around LLM token costs, distributed state management, and scope creep signal the engineering complexity of agent orchestration at scale — a gap the VP-heavy hiring (2 of 7 roles) is meant to fill.

Tech Stack 91 technologies

Core StackAdobe Premiere Pro Python Django React Next.js TypeScript Cursor Sentry Grafana WordPress PHP JavaScript Figma Cloudflare Shopify Celery PostgreSQL Loki FastAPI Final Cut Pro DaVinci Resolve Kinsta WP Engine GoDaddy Squarespace Webflow Elementor Django REST Framework Tempo Mimir+54 more

What Search Atlas Is Building

◆Challenges

Building content engine
Unblocking engineers
Avoiding scope creep
Maintaining throughput
Fragmented stack of point tools
Scaling engineering organization
Cost optimization at scale
Managing token costs
Cost-quality tradeoffs in llm orchestration
Distributed state management in autonomous systems

▲Active Projects

Founder video and podcast series
Product launch content campaigns
Educational tutorials and event recaps
Build lightweight qa framework
Own post-release monitoring
Atlas brain
Otto
Content genius
Scalable web solutions
Domain and infrastructure management

Hiring Activity

Accelerating7 roles · 7 in 30d

Department

Engineering

Marketing

Product

Seniority

Senior

Mid

Notable leadership hires: VP Engineering

Company intelligence

Find more companies like Search Atlas by tech stack, pain points and active projects

Get started free

About Search Atlas

Search Atlas operates an AI-native performance marketing platform targeting teams running SEO and paid-ads campaigns across Google, Meta, and other channels. The product layers AI agents on top of research, strategy, execution, and reporting workflows. The company is 51–200 employees, headquartered in New York, and actively scaling engineering with distributed hiring across the US, Brazil, and Mexico. Recent projects include internal tools (lightweight QA framework, post-release monitoring), agent features (Atlas Brain, Otto, Content Genius), and a content engine to fuel marketing motion.

HeadquartersNew York, New York

Company Size51–200 employees

Hiring MarketsUnited States, Brazil, Mexico

Frequently Asked Questions

What tech stack does Search Atlas use?

Backend: Python, Django, Django REST Framework, Celery, PostgreSQL. Frontend: React, Next.js, TypeScript. Infrastructure: Cloudflare, Kinsta, WP Engine. Monitoring: Sentry, Grafana, Loki, Mimir. Video editing: Adobe Premiere Pro, DaVinci Resolve, Final Cut Pro.

Is Search Atlas hiring engineers?

Yes. 5 of 7 active roles are engineering positions, with 4 at senior level and 1 VP Engineering role. Hiring is accelerating across US, Brazil, and Mexico.

What is Search Atlas working on?

Agent features (Atlas Brain, Otto, Content Genius), internal tooling (QA framework, post-release monitoring), scalable web infrastructure, and a content engine for marketing campaigns.

How this profile is built

Search Atlas's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.