🛠 Tech Stack

💼 About This Role

You'll own the Serverless AI product roadmap and drive execution of high-impact features from concept to delivery. You'll collaborate with engineering on architecture decisions across containers, scheduling, and distributed systems for a next-generation GPU platform.

🎯 What You'll Do

• Define and prioritize technical capabilities for serverless GPU workloads
• Write precise PRDs covering APIs, CLI design, and system behaviors
• Partner with engineering on workload lifecycle and GPU scheduling
• Lead customer discovery sessions and translate feedback into product improvements
• Own developer experience strategy including CLI usability and documentation

📋 Requirements

• 3+ years of product management in cloud infrastructure or AI/ML platforms
• Strong hands-on understanding of containers, Docker, and APIs
• Solid knowledge of GPU computing for AI workloads
• Experience building developer-facing products such as CLIs or SDKs

✨ Nice to Have

• Experience with serverless architectures
• Background in distributed systems
• Familiarity with modern AI serving frameworks

🎁 Benefits & Perks

• 💰 Competitive salary with performance-based bonus
• 🏥 Comprehensive health coverage
• 🏠 Flexible remote-first culture
• 📚 Professional development support
• 🚀 Exposure to cutting-edge AI infrastructure

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Interview· 60 min
4. 4Final Round· 45 min