Founding GTM AI Hardware for Work

About GMIC AI

GMIC AI builds AI hardware and software for work.

We believe AI should not require people to constantly stop what they are doing, look at a screen, open an app, and operate software.

The next generation of AI should understand more of the real-world context around people, make useful information available at the right time, and require less attention to operate.

We are building new hardware around that idea.

Our team has experience in audio, embedded hardware, AI, product development, and manufacturing. Our next-generation product is currently in active prototyping.

We are looking for the first person dedicated to building our U.S. market.

The role

You will work directly with the founder to find where our products create the most value for U.S. enterprise customers.

This is a 0→1 role.

You will

There is no large SDR team, marketing department, or established inbound pipeline.

You will be expected to talk to customers, open doors, test ideas, and build the process yourself.

• Identify the first strong industries, users, and use cases
• Build relationships with enterprise customers from scratch
• Run customer discovery and product demos
• Recruit design partners
• Turn strong customer interest into paid pilots
• Help define pilot scope, pricing, and success criteria
• Understand adoption, privacy, security, and IT concerns
• Bring customer feedback directly into product decisions
• Help build the first repeatable U.S. GTM process

What Success Looks Like

In the first 90 days, we want to:

The goal is not simply to generate leads.

The goal is to discover where customers see enough value to deploy and pay.

• Have 20–30 meaningful enterprise customer conversations
• Develop 5–8 serious design partners
• Identify the strongest initial customer segments and use cases
• Create 3–5 paid pilots or comparable commercial commitments
• Use real customer evidence to influence product, pricing, and positioning

You may be a strong fit if you

Relevant backgrounds may include enterprise AI, hardware, IoT, wearables, voice technology, productivity software, frontline technology, or other hardware + software businesses.

We care more about what you personally built and sold than the companies on your résumé.

• Have 5+ years of enterprise sales, GTM, business development, or related experience
• Have worked with an early-stage product, startup, or new market
• Have personally built pipeline and customer relationships from scratch
• Are comfortable selling something that is still evolving
• Enjoy customer discovery as much as closing deals
• Have strong product instincts
• Can work closely with engineers and translate customer needs into useful product feedback
• Take ownership without waiting for a detailed playbook

Why This Role Is Different

This is not a traditional marketing job and it is not a mature sales role.

The product and market are still being shaped.

Customer conversations can change what we build.

The person joining now will have meaningful influence over our first U.S. customers, use cases, positioning, and GTM strategy.

If the market develops as we believe it can, this role can grow into building and leading GMIC AI’s U.S. GTM organization.

The role

is based in the San Francisco Bay Area.

We do not currently maintain a permanent San Francisco office. We work flexibly through coworking spaces, customer locations, and in-person working sessions.

You should be based in the Bay Area and comfortable meeting regularly in San Francisco, Marin County, the Peninsula, and at customer sites.

This is not intended to be a fully remote role.

Compensation

Base salary: $100,000–$120,000

Plus

• Performance compensation tied to paid pilots and commercial results
• Early-stage equity / stock options

How to Apply

Please send your LinkedIn profile or résumé and answer two short questions:

Short and specific answers are better than polished ones.

• Tell us about one early-stage product you personally helped take to paying enterprise customers. What did you personally do?
• Where do you think AI hardware can create meaningful value at work that phones and laptops cannot?