🛠 Tech Stack

💼 About This Role

You'll develop forecasting interfaces and scheduling algorithms for a platform that orchestrates human and AI customer support agents. Your work will directly optimize workforce management for thousands of agents. Backed by $71M funding, you'll have real impact on AI-human collaboration at scale.

🎯 What You'll Do

• Predict contact volume using forecasting models
• Design scheduling interfaces for thousands of agents
• Enhance MLOps for rapid model deployment
• Optimize both statistical and runtime performance

📋 Requirements

• Experience with Python libraries like pandas, SciPy
• Background on a machine learning or algorithmic team
• Passion for advancing statistical and runtime performance

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💰 Competitive salary with stock options

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 30 min