🛠 Tech Stack

💼 About This Role

You'll build and evolve the core optimization engine behind a next-generation scheduling system for enterprise maintenance teams. You'll design advanced scheduling models that transform complex real-world constraints into reliable executable schedules. This role operates at the intersection of machine learning, operations research, and product engineering.

🎯 What You'll Do

• Own and evolve the Python-based constraint optimization engine.
• Design and implement advanced scheduling capabilities like workforce constraints.
• Build APIs exposing optimization capabilities to GenAI agent workflows.
• Iterate on optimization models using real-world feedback from enterprise customers.

📋 Requirements

• 5+ years of professional software engineering with optimization or operations research.
• Hands-on expertise with CP-SAT and familiarity with MILP solvers.
• Strong Python engineering skills including API development and system design.
• Experience shipping optimization systems used by real users.

✨ Nice to Have

• Experience with large-scale scheduling systems or workforce planning.
• Familiarity with learning-augmented optimization approaches.
• Experience with logistics or workforce planning.

🎁 Benefits & Perks

• 💰 Competitive salary with meaningful equity opportunities.
• 🏥 Comprehensive healthcare, dental, and vision coverage.
• 🏖️ Flexible unlimited PTO policy.
• 🌍 Remote-friendly and globally distributed work environment.
• 🚀 Opportunity to work on cutting-edge AI and optimization systems.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical phone interview· 60 min
3. 3Onsite or virtual onsite (technical + behavioral)· 240 min