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Описание вакансии
Текст:
TL;DR
Head of Product (AI Cloud Infrastructure): Defining and scaling Lambda's compute, storage, and networking products for AI cloud workloads with an accent on product strategy, hardware platform transitions, pricing, and NVIDIA integration. Focus on unifying distributed training and inference experiences, turning GPU generations into sellable products, and building a team of product leaders.
Location: Hybrid, with presence in the Bellevue or San Francisco office four days per week; Tuesday is the designated work-from-home day.
Annual salary: $347,000–$464,000 in Bellevue or $386,000–$515,000 in San Francisco.
Company
Lambda builds AI cloud infrastructure for researchers, enterprises, and hyperscalers, providing compute designed to make large-scale AI workloads accessible.
What you will do
- Own product definition, strategy, roadmaps, launch criteria, pricing, and packaging for compute, storage, and networking.
- Unify the three infrastructure domains into a coherent customer experience for distributed training and inference workloads.
- Turn new GPU platform generations into products, defining capacity, customer requirements, launch sequencing, and adoption plans.
- Lead product integration with NVIDIA, including technology testing, adoption, and product commitments.
- Build planning, review, launch, and feedback mechanisms across engineering, sales, finance, support, and operations.
- Hire, coach, and manage product managers while remaining directly involved in complex product decisions.
Requirements
- 10+ years of product management experience, including management of product managers.
- Career experience in cloud computing and direct work across at least two of compute, networking, and storage.
- Experience owning infrastructure product strategy, roadmaps, pricing, and packaging at company-direction scope.
- Ability to evaluate performance, durability, cost, customer impact, engineering complexity, margins, and delivery timing.
- Experience with hardware constraints, supply timing, or platform transitions shaping product roadmaps.
- Strong written and verbal communication, judgment, and ability to turn ambiguous inputs into executable product definitions.
Nice to have
- Experience with GPU cloud, AI infrastructure, distributed training, or large-scale inference.
- Experience with NVIDIA GPU platforms, InfiniBand, NVLink, or high-performance storage.
- Experience serving self-serve developers and enterprise customers with usage-based pricing, reserved capacity, or multi-year commitments.
- Experience integrating products with strategic technology partners.
Culture & Benefits
- Cash and equity compensation.
- Health, dental, and vision coverage for employees and dependents.
- Wellness and commuter stipends for select roles.
- 401(k) plan with a 2% company match for USA employees.
- Flexible paid time off.
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