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Developer Relations Manager, Higher Education and Research - Foundational AI

Ladders · United States · 3 wk ago
RemoteRemoteEngineering$152k–$288k/yrFull-time

About the role

For our client, we are seeking a Developer Relations Manager, Higher Education and Research - Foundational AI to join the team of a leader in the Telecommunications & Hardware space. This role will serve as a strategic partner to academic AI labs, helping shape how frontier foundational AI research informs platform direction and long-term engagement. You will collaborate closely with researchers and internal product teams to surface technical needs, identify high-impact opportunities, and translate feedback into actionable insights. The position also plays an important external-facing role in strengthening the organization's presence across universities, workshops, and research communities. Location: Remote - US based candidates only, no visa sponsorship available.

Pay

Compensation: $152,000 – $287,500 annually

Responsibilities

  • Serve as a trusted advisor to academic AI labs on foundational models and systems
  • Identify high-impact research opportunities for the company's AI platforms
  • Engage and collaborate with researchers to understand technical needs
  • Track and analyze frontier AI research trends and their implications
  • Partner with internal teams to support long-term researcher engagement
  • Translate academic feedback into actionable insights for product development
  • Promote the company's presence in AI research through workshops and university partnerships

Qualifications

  • PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related field, or equivalent research experience
  • 5+ years in technology with a focus on software engineering, developer relations, or product management, including 3+ years in AI
  • Deep expertise in foundational AI including LLMs, multimodal models, and reasoning methods
  • Strong understanding of the AI model development lifecycle from pretraining to deployment
  • Hands-on experience with AI research stacks such as PyTorch and distributed training frameworks
  • Technical fluency in scalable AI systems and related optimizations
  • Proven ability to engage with top academic labs on frontier research challenges

Benefits

  • Equity participation in the company's programs
  • Eligibility for various employee benefits
  • Support for continuing education and professional development

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