6 часов назад
Senior Product Manager, AI Cloud Services (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager, AI Cloud Services (AI): Define and launch a 0→1 AI cloud services platform for enterprise and infrastructure customers with an accent on customer discovery, compute provisioning, APIs, developer workflows, and product commercialization. Focus on shaping cloud product strategy, balancing technical complexity with customer needs, and building scalable services for modern GPU workloads.
Location: Hybrid in the Bay Area, Boston, or Washington D.C., with two work-from-home days per week
Company
develops AI cloud and energy software that helps data centers dynamically manage power usage, scale AI workloads, and support renewable energy expansion.
What you will do
- Define the vision, strategy, and roadmap for Emerald Cloud Services.
- Conduct customer discovery and market research to identify AI infrastructure needs.
- Define requirements for compute provisioning, management, APIs, developer workflows, and platform capabilities.
- Partner with engineering to build scalable products while balancing customer needs, technical complexity, and business priorities.
- Work with Sales, Business Development, and Marketing on packaging, pricing, go-to-market strategy, and customer adoption.
- Lead products from concept through launch, iteration, and commercialization.
Requirements
- 5+ years of product management experience in cloud infrastructure, developer platforms, or enterprise software.
- Experience launching and scaling customer-facing software products from concept through commercialization.
- Strong customer discovery, product intuition, analytical thinking, and data-driven decision-making skills.
- Experience defining product strategy and prioritizing roadmaps in ambiguous environments.
- Ability to independently lead complex cross-functional initiatives and communicate effectively in writing and verbally.
- Comfort working in a fast-paced, early-stage startup.
Nice to have
- Experience building AI infrastructure products.
- Familiarity with NVIDIA GPUs, Kubernetes, Slurm, or distributed AI training.
- Experience with cloud provisioning, identity, networking, storage, or infrastructure automation.
- Experience working with AI startups, enterprise ML teams, or cloud infrastructure providers.
Culture & Benefits
- Collaborative, low-ego environment with AI, cloud, software, and energy experts.
- Opportunity to shape a 0→1 product, go-to-market strategy, organizational design, and customer engagement.
- Competitive compensation with stock options.
- Medical, dental, vision, and 401(k) matching benefits.
- Support for an inclusive workplace and reasonable accommodations during the hiring process.
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