Чётко очерченная продуктовая роль в быстрорастущей компании AI-инфраструктуры с прямым влиянием на продакшен-инференс и сильным потенциалом для развития.
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Текст:
Hirify AI/Оригинал
TL;DR
Product Manager, Inference Platform (AI): Building customer-facing capabilities that turn advances in AI model serving and inference performance into production-ready features with an accent on latency, throughput, quality, and cost optimization. Focus on defining rigorous benchmarks, translating complex runtime technologies into usable products, and helping customers adopt scalable inference optimizations.
Location: Hybrid in San Francisco or New York, United States
Salary: $200K–$400K plus equity
Company
Baseten provides AI inference infrastructure and developer tooling for companies bringing advanced models into production.
What you will do
Work with inference engineering and research teams to deliver new performance capabilities to customers.
Translate advances in batching, caching, quantization, speculative decoding, and serving architectures into product features.
Define benchmarks and evaluations for latency, throughput, quality, and cost improvements.
Understand customer workloads and prioritize high-impact optimizations.
Make performance features easier to configure, evaluate, and adopt in production.
Partner with engineering on hardware and model tradeoffs, autoscaling, routing, release readiness, compatibility, and regression testing.
Requirements
Experience building and shipping AI/ML products or infrastructure where performance, scalability, or production behavior mattered.
Technical background in software engineering, ML engineering, research, or equivalent hands-on experience.
Strong understanding of model serving architectures, GPU economics, and latency, throughput, quality, and cost tradeoffs.
Experience working with researchers or infrastructure engineers to bring technically complex capabilities into production.
Rigorous approach to benchmarking, experimentation, and performance measurement.
Strong product judgment and ability to translate deep technical work into clear customer value.
Nice to have
Hands-on experience with PyTorch, vLLM, TensorRT-LLM, SGLang, NVIDIA Dynamo, or similar technologies.
Experience with open-source inference projects, model optimization, or ML systems research.
Culture & Benefits
Competitive compensation with meaningful equity.
For U.S. employees, 100% medical, dental, and vision insurance coverage for employees and dependents.
Flexible PTO and company-wide Winter Break from Christmas Eve through New Year's Day.
Paid parental leave and a fertility and family-building stipend through Carrot.
For U.S. employees, company-facilitated 401(k).
Exposure to ML startups and opportunities for learning and networking.
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