🛠 Tech Stack

💼 About This Role

You'll own the product strategy for a serverless GPU platform, driving features like training jobs and inference endpoints. Your work will directly shape developer experience and infrastructure scalability for AI workloads. Collaborate with engineering and customers to deliver a purpose-built AI cloud platform.

🎯 What You'll Do

• Own and co-develop the Serverless AI product roadmap across jobs, endpoints, and environments.
• Write execution-ready PRDs covering APIs, CLI design, state machines, and billing models.
• Partner with engineering on architecture decisions for workload lifecycle and GPU scheduling.
• Lead customer discovery sessions to translate feedback into actionable product improvements.

📋 Requirements

• 3+ years of product management 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.
• Experience building developer-facing products such as CLIs, SDKs, or APIs.

✨ Nice to Have

• Experience with serverless architectures or GPU cloud platforms.
• Familiarity with Kubernetes and container orchestration.
• Background in developer relations or technical writing.

🎁 Benefits & Perks

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

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interview· 3 hours