Clair Tech Stack

Embedded on-demand pay for hourly workers via compliance-first fintech

Technology, Information and Internet New York, NY 51–200 employees Founded 2019 Privately Held

Clair embeds on-demand pay into payroll for hourly workers—addressing the two-week paycheck cycle that leaves workers cash-strapped between cycles. The stack reveals a compliance-engineering operation: Python + TensorFlow/PyTorch for credit modeling, dbt + Snowflake for data pipelines, and heavy investment in Zendesk + linear workflows for regulatory management. Projects spanning licensing portfolio management, vendor risk, and next-generation credit models signal Clair is moving from a basic pay-advance product toward a scaled, state-licensed lending operation.

Tech Stack 24 technologies

Core StackZendesk Gusto QuickBooks BambooHR AWS Snowflake Python TensorFlow PyTorch Monday.com scikit-learn Tableau Power BI Metabase dbt Connecteam 7shifts XGBoost macOS Google Slides Linear Notion Plaid Lightdash

What Clair Is Building

◆Challenges

Delayed payroll for hourly workers
Evolving regulatory landscape
State licensing requirements
Compliance management system
Scaling compliance program
Managing licensing portfolio
Audit readiness and support
Two weeks to send paycheck
Model drift
Unexpected repayment behavior

▲Active Projects

Compliance management system support
Vendor risk management program
Clair signup process
Ewa repayment products
Licensing portfolio management
Marketing collateral compliance review
Next generation credit models
Predictive feature engineering
Model deployment and monitoring
Engineering operations improvement

Hiring Activity

Accelerating10 roles · 9 in 30d

Department

Engineering

Legal

Product

Data

Sales

Support

Seniority

Senior

Mid

Junior

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About Clair

Clair is a fintech company that provides embedded on-demand pay solutions for hourly workers through employer payroll systems. Founded in 2019 and headquartered in New York, the company operates as a compliance-first lender, handling underwriting, credit decisioning, repayment logistics, and regulatory filings across multiple state licensing regimes. The product integrates with existing payroll infrastructure (Gusto, QuickBooks) and serves mid-market employers. The business requires deep compliance automation (dbt, Snowflake, Zendesk) and predictive modeling (TensorFlow, scikit-learn, XGBoost) to manage credit risk and state regulatory requirements at scale.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2019

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Clair use?

Clair runs Python, TensorFlow, PyTorch, and XGBoost for ML modeling; Snowflake + dbt for data pipelines; Plaid for bank connectivity; Zendesk for compliance workflows; and Gusto + QuickBooks integrations for payroll systems.

What is Clair working on?

Active projects include next-generation credit models, predictive feature engineering, model deployment and monitoring, compliance management system support, state licensing portfolio management, and vendor risk programs—indicating evolution from basic pay advances to a scaled lending operation.

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How this profile is built

Clair'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.