DataRobot Tech Stack

Agent workforce platform for enterprise AI deployment and MLOps

Software Development Boston, Massachusetts 501–1,000 employees Privately Held

DataRobot operates an agent-centric AI platform with heavy infrastructure investment (Kubernetes, Docker, multi-cloud orchestration) and a tech stack spanning LangGraph, CrewAI, and LlamaIndex — indicating active movement into agentic AI systems. The engineering-heavy hiring distribution, dominated by senior and staff-level roles, aligns with their roadmap focus on LLM lifecycle backends, zero-downtime upgrades, and reproducibility in generative outputs — tackling the operational complexity that prevents AI pilots from becoming production workloads.

Tech Stack 64 technologies

Core StackPython Kubernetes Docker pandas scikit-learn NumPy RAG PostgreSQL Salesforce AWS Linux MongoDB Helm Terraform CloudFormation Prometheus CloudWatch React JavaScript Jest R LangGraph CrewAI LlamaIndex Azure GCP pgAdmin MongoDB Ops Manager Bash Patroni+29 more

AdoptingKubernetes SAP Kyverno Cilium GitOps CI/CD NVIDIA Dell+2 more

What DataRobot Is Building

◆Challenges

Reducing churn risk
Ensuring reproducibility in generative outputs
Improving agentic workflows
Monolithic software decomposition
Performance stability
High-stakes customer security inquiries
Federal compliance requirements
Reducing total cost of ownership
Unifying deployment experiences
Optimizing llm latency/cost

▲Active Projects

Adapting mlops offering to new technical challenges in generative ai
Agentic ai agent deployment
Multi-year strategic plans to expand usage
Genai systems
Zero-downtime upgrades
Generative ai core services
Gitops and helm deployment strategy
Llm lifecycle backend systems
Automation of security tooling
Enterprise-grade mvp agentic ai applications

Hiring Activity

Steady70 roles · 25 in 30d

Department

Engineering

Sales

Data

Product

Security

Executive

Marketing

Seniority

Senior

Staff

Principal

Director

Mid

Junior

Lead

Notable leadership hires: Account Director

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About DataRobot

DataRobot builds a platform designed to move AI projects from experimentation into production at enterprise scale. The product stack includes prebuilt agentic components, code-first tooling, and end-to-end MLOps capabilities, deployed across AWS, Azure, and GCP with Kubernetes-based orchestration. The company sells to mid-market and enterprise organizations navigating regulatory requirements (federal compliance, security governance) and cost pressure (LLM latency optimization, total cost of ownership). Active projects reveal internal focus on decomposing monolithic systems, hardening agentic workflows, and automating security workflows — operational challenges their own customer base faces.

HeadquartersBoston, Massachusetts

Company Size501–1,000 employees

Hiring MarketsIndia, Canada, Poland, Ukraine, United States, Ireland, Germany, United Arab Emirates

Frequently Asked Questions

What is DataRobot's tech stack?

DataRobot uses Python, R, Kubernetes, Docker, LangGraph, CrewAI, and LlamaIndex as core components, with PostgreSQL and MongoDB for data storage, Salesforce for CRM, and multi-cloud deployment on AWS, Azure, and GCP. Infrastructure tooling includes Helm, Terraform, and CloudFormation.

What is DataRobot building?

DataRobot is focused on agentic AI deployment, LLM lifecycle backends, MLOps adaptation for generative AI, zero-downtime upgrades, and GitOps/Helm deployment strategies. Security automation and reproducibility in generative outputs are core priorities.