Company Description: Inference.ai is building an AI compute ecosystem that empowers future leaders to run advanced workloads at scale. The company enables flexible allocation of virtualized GPUs across diverse tasks and containerized workflows, helping teams optimize performance and costs. By simplifying access to high-performance compute, Inference.ai supports innovators working on cutting-edge AI products and research. Team members work in a dynamic environment focused on solving complex infrastructure challenges and accelerating AI development.
Role Description: The AI Partnerships & Growth Intern will support partnership development and go-to-market initiatives that expand Inference.ai’s ecosystem. Day-to-day responsibilities include researching potential partners, assisting with outreach and sales pipeline activities, preparing presentations and marketing collateral, and helping manage strategic partnership conversations. The intern will analyze data to identify growth opportunities, summarize market and competitive insights, and coordinate with internal teams on partnership-related projects. This is an internship role with a hybrid work arrangement based in Redwood City, CA.
Qualifications
- Strong analytical skills, including the ability to interpret data, identify trends, and generate actionable insights.
- Interest or experience in partnerships and strategic partnerships, with a focus on ecosystem or B2B technology collaboration.
- Effective communication skills, including clear written and verbal communication and the ability to create professional presentations.
- Foundational sales skills or exposure to sales processes, such as prospecting, pipeline tracking, and follow-up.
- Demonstrated initiative, curiosity about AI and cloud infrastructure, and willingness to learn in a fast-paced environment.
- Ability to work in a hybrid setting, collaborate across teams, and manage multiple priorities with attention to detail.
- Enrollment in or completion of a degree program in business, economics, computer science, engineering, or a related field is preferred.