H2O.ai Tech Stack

Enterprise AI platform converging generative and predictive models on private data

Software Development Mountain View, CA 201–500 employees Founded 2012 Privately Held

H2O.ai builds a platform for enterprise generative AI and predictive analytics, with heavy focus on Sovereign AI deployments (secure, compliant, infrastructure-flexible). The tech stack is cloud-agnostic (AWS, Azure, GCP, Snowflake, Databricks) and the project list reveals active work on LLM system reliability (chaos experiments), Kubernetes cluster management, and FedRAMP compliance—suggesting the company is moving from experimentation toward production-grade enterprise deployments. Sales hiring (17 roles) outpaces engineering (12), indicating a sales-led motion targeting Fortune 500 adoption.

Tech Stack 36 technologies

Core StackSnowflake AWS SAP S/4HANA Databricks Linux Kubernetes Go Python gRPC Kafka Helm Java Playwright RAG React NetSuite GCP MinIO VAST Data Dell Technologies NVIDIA Azure Oracle Cloud AutoML Protocol Buffers REST API pytest Carta Ariba Navan+5 more

AdoptingAWS Snowflake Azure GCP NVIDIA Dell Technologies MinIO VAST Data

What H2O.ai Is Building

◆Challenges

Adopting ai
Demonstrating roi for ai
Intermittent failures in distributed llm systems
Ensuring security compliance
System optimization
Moving from ai experimentation to ai accountability
Scaling revenue processes
Maintaining audit readiness
Compliance tasks for international subsidiaries
Accelerating enterprise adoption

▲Active Projects

Custom ai/ml/genai solutions for industry verticals
Reference architectures and deployment strategies
Chaos experiments for llm systems
Net-new logos pipeline
End-to-end revenue recognition process
Ephemeral cluster management on kubernetes
Python-first automation framework development
H2ogpte generative ai platform
Fedramp continuous monitoring
System optimization and implementation

Hiring Activity

Accelerating55 roles · 30 in 30d

Department

Sales

Engineering

Finance

Ops

Product

Support

Data

Executive

Seniority

Senior

Mid

Manager

Director

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About H2O.ai

H2O.ai develops an open-source AI platform for enterprises and government agencies to build generative AI applications on proprietary data. The platform bridges generative and predictive analytics, with emphasis on data privacy, regulatory compliance, and infrastructure flexibility across cloud providers. The company serves Fortune 500 organizations, public sector agencies, and a developer community of 2 million data scientists. H2O.ai operates with 201–500 employees based in Mountain View, CA, and maintains a global hiring footprint across nine countries including the US, Australia, Poland, and India.

HeadquartersMountain View, CA

Company Size201–500 employees

Founded2012

Hiring MarketsAustralia, Canada, Poland, United States, Singapore, Czechia, India, Sri Lanka

Frequently Asked Questions

What tech stack does H2O.ai use?

H2O.ai uses Snowflake, AWS, GCP, Azure, Databricks, NVIDIA, Kubernetes, Python, Go, Kafka, and SAP S/4HANA, with active adoption of cloud data platforms and infrastructure tooling.

Where is H2O.ai headquartered and hiring?

H2O.ai is headquartered in Mountain View, CA and is hiring across the United States, Australia, Canada, Poland, India, Singapore, Czechia, and Sri Lanka.