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Nuuly operates a fashion rental marketplace as a public company, which explains the compliance-heavy project mix (SOX, payroll reporting, budget processes) alongside consumer analytics work. The hiring acceleration is concentrated in ops (6 roles) and data (4 roles), not engineering, signaling investment in warehouse management, inventory systems, and reporting infrastructure rather than product velocity. Tech stack reveals a data-first org: BigQuery + Python + Looker + Tableau for analytics, paired with Manhattan WMS and Kronos for supply-chain operations, suggesting the core bottleneck is operational visibility and demand forecasting across rental inventory.
Tech Stack 60 technologies
Core StackBigQuery Python Looker Tableau Google Analytics Firebase Postman Jira Monday.com Confluence Figma Adobe Creative Cloud Swift SwiftUI Kotlin Spring PostgreSQL Kubernetes Google Analytics 4 Google Tag Manager Adobe Analytics UIKit iOS HTTP CMMS WMS Manhattan Kronos Qlik Sense CCTV+29 more
What Nuuly Is Building
◆Challenges
- Compliance with sarbanes-oxley
- Demand forecasting
- Marketing-on-site data alignment
- Acquisition path optimization
- Improving data infrastructure reliability
- Optimizing etl processes
- Ensuring accurate data transformation
- Inventory reconciliation challenges
- Limited historical sales trends
- Ambiguous business environment
▲Active Projects
- Custom warehouse management solution
- Annual budget process
- Event-driven architecture with kafka
- Ad-hoc reporting for brand projects
- Flagship influencer campaigns
- Database of brand-aligned influencers
- Conversion path analysis
- Landing page performance analysis
- Channel attribution measurement
- Brand payroll reporting
Hiring Activity
25 roles · 15 in 30d
Department
Seniority
Company intelligence