Intern, Marketing & AI Programs

Ayar Labs•San Jose, CA
•Onsite

About The Position

Ayar Labs is seeking a Marketing & AI Programs Intern for a term running from May to August 2027. The internship is based on-site at the company’s San Jose office. The intern will own a small number of defined marketing projects at a fast-growing semiconductor company, with scope shaped by the intern’s interests and the team’s priorities. Projects may span campaign execution, content and brand programs, and marketing operations. A core part of the role is applying AI fluency to improve the marketing organization’s efficiency. The intern will actively identify and test ways AI tools can help the team, in addition to using them in marketing work. The role provides cross-functional exposure to a technical B2B marketing team and involves working with marketing, communications, sales, product, and executive stakeholders, with regular one-on-one mentorship. Ayar Labs develops optical I/O chiplets using silicon photonics to move data for AI compute hardware. Its co-packaged optics technology is designed to address AI data bottlenecks while reducing energy use. The company is backed by NVIDIA, AMD, and Intel and works with semiconductor ecosystem partners. The hourly pay range is $45–$55, depending on education level. The position is on-site in San Jose. The posting states that immigration support is unavailable except for F-1 candidates, and relocation support is unavailable.

Requirements

  • Strong writing, communication, and organizational skills.
  • Comfort with AI tools and hands-on experience using them for research, drafting, workflow automation, or building lightweight tools.
  • Interest in B2B or technical marketing.
  • A self-starter mindset and ability to take ownership of a project.
  • Actively pursuing a bachelor’s or master’s degree in Business, Marketing, Communications, or an aligned area.

Responsibilities

  • Own a small number of defined marketing projects, with scope shaped around the intern’s interests and team priorities.
  • Contribute to campaign execution, content and brand programs, and/or marketing operations.
  • Identify and test ways AI tools can improve the marketing organization’s efficiency.
  • Work cross-functionally with marketing, communications, sales, product, and executive stakeholders.
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