Domino Data Lab Tech Stack

Enterprise MLOps platform for data science at scale

Software Development San Francisco, CA 201–500 employees Founded 2013 Privately Held

Domino operates an MLOps platform purpose-built for large enterprises running production data science workflows. The stack reveals a mature, polyglot engineering organization: Python and R for modeling, Kubernetes and Docker for orchestration, Kafka for event streaming, and multi-cloud support (AWS, Azure, GCP). Active hiring across engineering, sales, and marketing—paired with ongoing work on LLM hosting, model monitoring, and financial services verticals—indicates a shift toward AI infrastructure and vertical-specific go-to-market, while pain points around procurement cycles and time-to-production signal friction in long-form enterprise deals.

Tech Stack 24 technologies

Core StackPython Go TypeScript React GraphQL Kubernetes Docker PostgreSQL Redis Kafka AWS Apache Spark gRPC Hadoop Java Scala Prometheus New Relic R Domino Azure GCP Ray REST API

What Domino Data Lab Is Building

◆Challenges

Reducing time to close
Increasing adoption
Cloud adoption
Prolonged procurement cycles
Security assessment delays
Long sales cycles in fsi
Complex procurement and legal reviews
Slow ai project time to production
New challenges for deploying ai systems
Expanding into fsi vertical

▲Active Projects

Industry solution launches
Pipeline generation for net-new fsi accounts
Proof-of-concept deployments
Lead complex sales cycles
Llm hosting capabilities expansion
Model monitoring integration
Automate cs initiatives
Cloud adoption
Financial services vertical
Model development lifecycle platform

Hiring Activity

Steady15 roles · 5 in 30d

Department

Engineering

Sales

Marketing

Product

Support

Seniority

Mid

Senior

Staff

Intern

Manager

Principal

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About Domino Data Lab

Domino Data Lab builds an enterprise MLOps platform that handles model development, deployment, monitoring, and governance for data science teams at Fortune 100 companies. The product spans the full data science lifecycle: interactive development environments (Python, R, Jupyter-style), collaboration and reproducibility tools, cloud-native orchestration (Kubernetes, Spark), and production monitoring (Prometheus, New Relic). The company serves advanced enterprises across multiple verticals, with active expansion into financial services. Current workstreams include LLM hosting capabilities, proof-of-concept deployment acceleration, and cost reduction around sales cycle length and procurement bottlenecks.

HeadquartersSan Francisco, CA

Company Size201–500 employees

Founded2013

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Domino Data Lab use?

Python, R, Go, TypeScript, React, Kubernetes, Docker, PostgreSQL, Redis, Kafka, AWS, Azure, GCP, Spark, Ray, Prometheus, and New Relic. The stack emphasizes multi-cloud support and distributed compute.

What is Domino Data Lab working on?

LLM hosting expansion, model monitoring integration, financial services vertical entry, proof-of-concept deployment automation, and pipeline generation for FSI accounts. Internal pain points include reducing sales cycle length and accelerating AI project time-to-production.