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Описание вакансии
Текст:
TL;DR
Ecosystem Marketing Manager (AI/ML): Building and growing Nscale’s presence across the AI/ML developer ecosystem through open-source programs, ecosystem partnerships, and developer adoption initiatives with an accent on PyTorch, Hugging Face, Ray, vLLM, Kubernetes, and related infrastructure. Focus on mapping emerging technologies, activating maintainer and community relationships, creating developer journeys into Nscale, and measuring ecosystem-sourced growth.
Location: New York or San Francisco, United States
Salary: $90,000–$160,000 USD per year, with potential bonus, equity, and/or commission programs.
Company
Nscale builds AI infrastructure for developers and teams creating the next generation of AI.
What you will do
- Define and execute ecosystem marketing strategy across AI/ML frameworks, libraries, tools, open-source projects, and developer communities.
- Build relationships with ecosystem companies, maintainers, contributors, startups, and communities across PyTorch, Hugging Face, Ray, vLLM, Kubernetes, and the broader AI developer stack.
- Create joint technical content, demos, integrations, workshops, events, developer programs, and campaigns.
- Grow Nscale’s open-source presence and identify developers, projects, and companies building with Nscale.
- Work with Product, Growth, Developer Relations, Developer Experience, Social, and Engineering to create journeys from ecosystem engagement to platform adoption.
- Establish KPIs and reporting for ecosystem reach, developer engagement, community growth, OSS participation, integrations, adoption, and ecosystem-sourced growth.
Requirements
- 6+ years of experience in ecosystem marketing, developer marketing, developer relations, technical partnerships, open-source marketing, or product marketing.
- Experience in AI/ML, cloud infrastructure, or developer technology.
- Strong understanding of AI/ML frameworks, libraries, infrastructure, models, tools, and developer communities.
- Familiarity with PyTorch, Ray, vLLM, Hugging Face, Kubernetes, and the broader open-source AI stack.
- Proven ability to build technology, open-source, maintainer, and developer community relationships and turn them into tangible programs.
- Strong cross-functional, analytical, and execution skills in a fast-moving AI ecosystem.
Culture & Benefits
- Work focused on open-source AI, developer communities, and AI infrastructure.
- Collaboration across Product, Engineering, Developer Relations, Growth, Partnerships, and Marketing.
- Medical, dental, and vision coverage may be available.
- Flexible paid time off, parental leave, and retirement plan participation may be available.
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