Giga deploys AI agents into Fortune 500 operations, with a tech stack spanning React + Next.js + Python + FastAPI on AWS/GCP—infrastructure typical of a full-stack SaaS platform. The hiring deceleration (9 roles in last 30 days across a 57-role pipeline) combined with heavy sales staffing (15 roles) and seniority-skewed mix (22 senior, 7 director/VP) suggests a shift from build-phase scaling toward enterprise GTM execution and account expansion.
Notable leadership hires: Enterprise Sales Director, QA Lead, Legal Director
Giga builds and deploys AI support agents for enterprise operations teams, with publicly cited deployments at large companies managing complex support and operations workflows. The platform targets resolution-rate improvement and operational roadmap acceleration. The product roadmap spans GTM execution, custom solutions for large accounts, vertical-specific playbooks, and controlled deployment tooling. The team operates from San Francisco with 51–200 employees and actively hires across engineering, sales, HR, and marketing, with roles open in the United States, Canada, and the United Kingdom.
Giga runs JavaScript/TypeScript with React and Next.js on the frontend, Python with Django and FastAPI on the backend, and deploys on AWS and GCP with Kubernetes and Docker. Data layer includes PostgreSQL, Redis, and ClickHouse.
Current projects include GTM strategy execution, custom enterprise solutions, vertical-specific GTM playbooks, account expansion, activity stream features, and developer tooling CLIs. Pain-point focus is on scaling AI agents across enterprises and reducing hallucination rates.
Giga'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.