# Growth at Human Computer Lab

> Hybrid · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Ahuman-computer-lab%3Ad00556eb-3be0-4b51-be43-4a4084e505a1 (read 2026-11-07).

## Facts (observed)

- Company: [Human Computer Lab](https://alderhq.app/companies/human-computer-lab)
- Location text: San Francisco
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: San Francisco")
- Posted: 2026-04-03 (218 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/human-computer-lab/d00556eb-3be0-4b51-be43-4a4084e505a1

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 2435): p25 $100k, median $157k, p75 $210k

## Description (the employer's text)

Human Computer Lab is a research lab building character robots that feel alive and responsive. Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become interactive and help us reshape our attachment to technology.

Our goal is to push the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and human-centered. We are building the foundation for a new generation of robots designed for everyday environments.

### 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.

### In this role, you will

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

### You may be a good fit, if you

Are pursuing a degree in Business, Engineering, Marketing, or a related field

Have experience creating content (TikTok, Instagram, YouTube, etc.)

Are highly creative and can come up with ideas people actually want to watch or share

Understand how products grow through community, not just ads

Are comfortable experimenting, failing, and iterating quickly

Have strong communication skills and can tell clear, compelling stories

### You will be a strong fit, if you

Think like builders, not just marketers

Move quickly and take initiative without waiting for direction

Are 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”

The early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable. This requires us to be curious, creative, and diverse in our thinking and approach.

We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don’t want that to be the reason we miss out on great talent.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ahuman-computer-lab%3Ad00556eb-3be0-4b51-be43-4a4084e505a1 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
