🛠 Tech Stack

💼 About This Role

You'll own product strategy for a serverless GPU platform powering AI workloads. Your work will directly influence developer experience and infrastructure scalability. You'll collaborate with engineering on architecture decisions across containers and distributed systems.

🎯 What You'll Do

• Own and co-develop Serverless AI product roadmap across jobs, endpoints, and developer environments.
• Write execution-ready PRDs covering APIs, CLI design, state machines, billing models.
• Define technical capabilities such as autoscaling, multi-node workloads, cold start optimization.
• Lead customer discovery sessions and translate feedback into actionable product improvements.

📋 Requirements

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

✨ Nice to Have

• Experience with serverless computing platforms.
• Familiarity with Kubernetes or similar orchestration systems.
• Background in AI/ML model serving frameworks.

🎁 Benefits & Perks

• 🏖️ Flexible working arrangements with remote-first culture.
• 💼 Competitive salary with performance-based bonus opportunities.
• 🏥 Comprehensive health and medical coverage package.
• 📚 Professional development support and learning opportunities.
• 🚀 Exposure to cutting-edge AI infrastructure and GPU cloud technologies.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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