CLEAR Tech Stack

Biometric identity platform for airport security, enterprise trust, and digital verification

Consumer Services New York, NY 1,001–5,000 employees Founded 2010 Public Company

CLEAR operates a dual-revenue identity platform: a direct-to-consumer membership service (airport security, age verification) and CLEAR1, an enterprise product for healthcare, travel, and financial services. The tech stack reveals a data-heavy, ML-forward architecture—TensorFlow, PyTorch, MLflow, and SageMaker sit alongside Kafka streaming, Snowflake warehousing, and dbt transformation—indicating heavy investment in predictive modeling for identity risk and fraud detection. Sales-dominated hiring (83 sales roles vs. 17 engineering) underscores a go-to-market strategy focused on enterprise partnership expansion, while active projects around incident response, detection-rule tuning, and new data onboarding suggest operational friction in scaling detection quality alongside volume.

Tech Stack 84 technologies

Core StackJava JavaScript React TypeScript Python PostgreSQL AWS Docker Kubernetes GitHub Kafka TensorFlow PyTorch MLflow RAG Snowflake dbt Dagster Looker Datadog ZoomInfo SageMaker pandas NumPy Argo CD MCP MITRE ATT&CK Outreach LinkedIn Sales Navigator SciPy+53 more

AdoptingIstio

What CLEAR Is Building

◆Challenges

Technical issues with hardware and software
Exceeding sales targets
Balancing high volume with high-quality experiences
Driving membership growth
High volume customer service
Sales performance improvement
Member retention
Expanding partner network
Reducing noise in detection rules
Reducing incident response times

▲Active Projects

Next generation digital identity platform
Capacity planning
Develop incident response playbooks
Onboard new data sources
Incentive program
Predictive modeling ecosystem for digital identity platform
New partnership engagements
Clear1 platform
Integrated marketing campaigns
Community partnership programs

Hiring Activity

Steady200 roles · 70 in 30d

Department

Sales

Ops

Engineering

Support

Marketing

Product

Security

Executive

Seniority

Junior

Senior

Manager

Mid

Director

Intern

Lead

Notable leadership hires: Regional Director, Product Director, Chief of Staff

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About CLEAR

CLEAR is a publicly traded identity and biometric verification company headquartered in New York with offices in Austin and Washington D.C. The company serves two primary customer segments: direct members (33+ million) who use CLEAR+ for expedited airport security and digital identity services, and enterprise clients across healthcare, travel, and financial services who deploy CLEAR1 for identity verification and trusted authentication. The platform combines biometric technology with machine learning to verify identity and reduce security friction. CLEAR operates at scale—managing high-volume transaction processing while balancing security rigor—and is actively expanding its partner network and membership base.

HeadquartersNew York, NY

Company Size1,001–5,000 employees

Founded2010

Hiring MarketsUnited States, Canada, Panama

Frequently Asked Questions

What is CLEAR's tech stack?

CLEAR uses Java, JavaScript, React, TypeScript, Python, and PostgreSQL for application development; AWS, Docker, Kubernetes for infrastructure; Kafka for event streaming; TensorFlow, PyTorch, and SageMaker for ML; and Snowflake with dbt for data warehousing and modeling. The company is adopting Istio for service mesh.