Intern - Growth

Human Computer LabSan Francisco, CA

About The Position

Join us Human Computer Lab is building robots that feel alive and responsive. We are a fast-paced and focused team, with the goal of pushing the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and intentional. What to expect: This role is for someone who wants to shape how LeLamp spreads in the real world through content, communities, events, and partnerships. You’ll run creative growth experiments, translate product features into experiences people can see and share, and help bring LeLamp into campuses and early adopter environments. You’ll work closely with engineering and product to turn ideas into stories that resonate, test what works, and scale what people respond to.

Requirements

  • Pursuing a degree in Business, Engineering, Marketing, or a related field
  • Experience creating content (TikTok, Instagram, YouTube, etc.)
  • Highly creative and can come up with ideas people actually want to watch or share
  • Understand how products grow through community, not just ads
  • Comfortable experimenting, failing, and iterating quickly
  • Strong communication skills and can tell clear, compelling stories

Nice To Haves

  • Think like builders, not just marketers
  • Move quickly and take initiative without waiting for direction
  • Deeply curious about how products spread and gain traction
  • Care about creating experiences that people genuinely enjoy
  • Work well in small, fast-moving teams
  • Think beyond “what works” to “what people will love”

Responsibilities

  • Develop and execute creative growth experiments (content, social, events, partnerships)
  • Identify and test new channels to reach users (campuses, communities, niche audiences)
  • Create compelling content that showcases LeLamp in real-life scenarios
  • Help design and run in-person activations, demos, and user experiences
  • Work closely with engineering and product teams to translate features into stories people care about
  • Analyze what works, iterate quickly, and scale successful ideas
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