RadixArk — Cloud Spend, Tech Stack & Transformation Signals

RadixArk has 132 active job postings with AI and cloud signals (including LLM / Gen AI, GCP, Kubernetes). Source: https://cloud.awsexpansion.com — AI and cloud hiring intelligence index. Data as of 2026-07-20.

📊 Company Overview

Sector

Technology

Country

United States

Employees

11-50

Cloud

Unknown

🤖 AI & Cloud Hiring Signals

132 active job postings with AI or cloud signals detected as of 2026-07-20. Signals are extracted from job titles and descriptions on public ATS boards (Greenhouse, Lever, Workday).

Signal Type	Active Roles
LLM / Gen AI	132 AI/ML
GCP	28 GCP
Kubernetes	28 AI/ML
AI Platform / MLOps	24 AI/ML
Azure	14 AZURE
DevOps / SRE	14 AI/ML
Deep Learning	13 AI/ML
VPC	7 AWS
Data Science	7 AI/ML
ML Engineering	7 AI/ML
Cloud Engineering	6 AI/ML
PyTorch	2 AI/ML
EKS	1 AWS

Updated weekly from public job boards. Methodology →

🎯 Outreach Strategy

Discovery questions based on RadixArk’s signals — paste into your AI or CRM

☁️

Multi-Cloud

“You're running on both Azure and GCP — is that an intentional multi-cloud strategy, or organic growth across teams? Who owns cloud governance?”

🤖

LLM Hiring

“You're actively hiring LLM engineers — is this for internal tooling, a customer-facing product, or both? Who owns the AI infrastructure budget?”

📊

Data Science

“Data science hiring often precedes a cloud data platform build-out. Are you building on an existing warehouse, or rearchitecting the stack?”

🔧

Cloud + DevOps

“Hiring both cloud engineers and DevOps together usually signals a platform team build-out or cloud-native transformation. Is someone driving that initiative internally?”