Data, cloud, and AI consultancy building enterprise AI platforms
Further is an Atlanta-based data, cloud and AI services firm whose stack centers on GCP (Vertex AI, Cloud Run, BigQuery) plus a full RAG toolkit: LangChain, LangGraph, LlamaIndex, Pinecone and Weaviate. Adoption of Svelte and FastAPI points to custom AI web apps, not just advisory work. Hiring is accelerating, senior-heavy and split evenly between data and engineering, with job posts stressing moving AI from prototype to production.
Notable leadership hires: Client Services Lead, UX IA Lead, Data Strategy Director
Further is a privately held consultancy headquartered in Atlanta, Georgia, founded in 2004 and employing 51–200 people. It delivers data strategy, data engineering, analytics, customer data platform and cloud work for large enterprise clients. Its delivery spans strategy, engineering, analytics and enablement, with growing emphasis on AI-powered platforms. Teams work across GCP, AWS, Snowflake and BigQuery, building pipelines with dbt and Airflow and infrastructure with Terraform. Hiring is currently focused in the United States.
Further uses GCP (Vertex AI, Cloud Run, BigQuery, Cloud SQL), AWS, Snowflake, dbt, Airflow, Terraform, Python, Go, TypeScript, and RAG tooling like LangChain, LlamaIndex, Pinecone and Weaviate.
Yes. Data and engineering are Further's largest hiring areas, hiring is accelerating and skews senior, with leadership openings including a Data Strategy Director and UX IA Lead, all in the United States.
Further's job posts cite AI adoption roadmaps, AI governance programs, AI model integration into production APIs, and Svelte, Go and FastAPI web apps deployed on Google Cloud.
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Further'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.