Way
Way Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers company equity
Offers performance bonuses
Offers dental insurance
Offers vision insurance
Offers health insurance
Way covers 100% of employee health insurance plan and 50% of spouse plan
Work-Life Balance + Wellbeing
Offers company-sponsored happy hours
Provides paid holidays
Utilizes an Unlimited PTO policy
Provides paid sick days
Company Culture
Utilizes an open door policy that encourages accessibility
Uses an OKR operational model to clearly define goals and priorities
Open office floor plan to encourage communication and collaboration
Provides onsite office parking
Additional Perks + Benefits
In addition to all other traditional benefits noted here, our employees have the option to work out of our Paris, France office at any time
Recently posted jobs
Real Estate • Software • Travel • Hospitality
Build and operate customer-facing product capabilities across discovery, booking, payments, guest journeys, reporting, AI functionality, and integrations. Own end-to-end features across React, Next.js, TypeScript, NestJS, PostgreSQL, and event-driven workflows. Partner with Product and Design, shape ambiguous problems, improve platform reliability, and manage testing, observability, security, production releases, and operational follow-through.
Real Estate • Software • Travel • Hospitality
Build Way’s data and intelligence layer across pricing, merchandising, personalization, forecasting, recommendations, and automation. Own data foundations, metrics, models, experiments, and production-ready datasets while partnering with Product and Engineering. Identify high-impact opportunities, ship measurable solutions, and establish rigorous, responsible data practices in a fast-moving startup environment.
Real Estate • Software • Travel • Hospitality
Build and lead Way’s data infrastructure from the ground up. Design cloud-native data lakes, scalable batch and real-time ETL/ELT pipelines, ingestion frameworks, data warehouses, orchestration, streaming systems, data quality monitoring, and DataOps practices. Develop Python and SQL-based data solutions, infrastructure as code, feature stores, dashboards, and self-service analytics. Partner with product and business teams on metrics, predictive modeling, and experimentation while establishing data-driven practices.
