What's It Like to Work at Pagaya?

Key Insight for Candidates

• Mission & Purpose: The aim to build a more efficient financial system with AI, alongside values like inclusion and accountability, is highlighted as compelling. Work on applied ML is tied to real lending decisions and partner integrations.
• Learning & Development: Exposure to challenging problems, smart peers, and supportive managers on some teams is described, including positive internship experiences. Day-to-day work connected to production models and deal flow can accelerate learning.
• Market Position & Stability: Ongoing ABS issuance, notable partnerships, and recent profitability milestones indicate real-world traction. This scale creates opportunities to work on systems with measurable outcomes.

• Low Compensation: Pay, equity, and benefits are characterized as uncompetitive, including concerns about stock-heavy bonuses that vest over time. Total compensation is often viewed unfavorably relative to expectations.
• Leadership Gaps: Leadership is portrayed as lacking vision and effective management, with trust concerns and uneven communication. Accounts also cite politics and inconsistent direction from the executive level.
• Job Insecurity: Multiple workforce reductions and restructuring cycles are referenced, creating uncertainty about role continuity. These actions are described as affecting morale and stability.