Experience: 8+ years
- 8+ years in product management, including deep experience with infrastructure, distributed systems, or ML serving.
- You reason fluently about scaling, routing, failover, and the cost/performance frontier - and you earn the respect of staff engineers doing it.
- You've owned capabilities end to end, backend through UX, rather than a single slice.
- You drive cross-team roadmaps and the dependencies beneath them, and you're at your best defining a category that doesn't fully exist yet.
Bonus: hands-on with GPU infrastructure, Kubernetes, or serving frameworks like vLLM, TensorRT-LLM, or SGLang.
- You prefer only strategy, UX, or writing great docs over doing whatever it takes to ship great products for customers.
- You lean toward applied AI over building platform, systems, GPUs, models, and scaling platforms and infrastructure.
- You're not interested in the foundational, sometimes unglamorous work of making AI systems reliable and scalable at the infrastructure level.
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