Company profile

Level AI Tech Stack

AI-driven conversation analytics, QA, and coaching for customer service teams

Software Development Mountain View, California 51–200 employees Founded 2018 Privately Held

Level AI builds AI that analyzes customer conversations to power quality scoring, agent coaching, automation, and analytics. Its stack pairs Kubernetes on GCP with Cast AI and Karpenter, alongside PyTorch, Go, and Rust. Job posts repeatedly cite GPU throughput, Kubernetes overprovisioning, and inference cost, which points to an ML infrastructure team focused on controlling compute spend. Hiring is accelerating, engineering-heavy, and mostly senior, with a parallel push to build an SDR motion.

Tech Stack 115 technologies

Core StackSalesforce Gong ZoomInfo Kubernetes Terraform Python Go Rust PyTorch Snowflake BigQuery Apache NiFi Apache Airflow Informatica Talend dbt Java Kafka Apache Spark AWS Glue Fivetran Django PostgreSQL Apollo GCP Cast AI Karpenter Amazon Redshift Azure Synapse Analytics Stitch+84 more

What Level AI Is BuildingChallenges and projects from their job posts

◆Challenges

Reducing infrastructure, Kubernetes, and inference costs
Scaling and optimizing GPU infrastructure throughput
Building scalable production NLP pipelines
Optimizing ML model performance
Improving renewal process efficiency

▲Active Projects

Automatic speech recognition pipeline development and optimization
Structured experimentation on GPU clusters
Cost budget tooling dashboards
Reliability instrumentation
SDR playbook and supporting tooling stack
Renewal planning kit development

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Engineering

Sales

Data

Marketing

Ops

Seniority

Senior

Junior

Lead

Manager

Principal

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About Level AI

Level AI, founded in 2018 and headquartered in Mountain View, California, is a privately held company with 51–200 employees. It sells a customer experience intelligence platform built on its own AI models. A single layer of conversation data feeds quality assurance, coaching, automation, and analytics, so operations, product, and leadership teams all work from the same signals. The company hires in the United States and India.

HeadquartersMountain View, California

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does Level AI use?

Level AI runs on Kubernetes on GCP, with Terraform, Cast AI, and Karpenter for infrastructure. It builds in Python, Go, Rust, and Java with PyTorch. Its data tools include Snowflake, BigQuery, Kafka, Spark, Airflow, and dbt.

Is Level AI hiring engineers?

Yes. Engineering is Level AI's largest hiring area, and most open roles are senior. Sales hiring is also active. Overall hiring is accelerating, with roles in the United States and India.

What is Level AI working on?

Level AI is developing and optimizing speech recognition and speech-to-text pipelines, running experiments on GPU clusters, and building cost-budget dashboards. On the sales side, it is building an SDR playbook.

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How this profile is built

Level AI'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.