Head of Global Expansion

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office or Remote
180K-300K Annually
Entry level
Artificial Intelligence • Big Data • Hardware • Machine Learning
The Role
Owns Build AI’s global data-collection expansion, evaluating regions, launching new markets, building local sales teams, developing partnerships, managing regional leads, optimizing incentives and costs, resolving regulatory issues, and accelerating expansion through frequent in-country execution.
Summary Generated by Built In
About Build AI

Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.

Responsibilities

Build is launching a planet-scale data collection effort to solve physical labor. You will help lead this effort. You must be aggressive, hungry, and deeply determined.

  1. You will own the data scaling effort end to end.

  2. You will evaluate regions and decide on new markets for scaling.

  3. You will execute the launch strategy independently. This includes building exceptional local sales teams (both door to door and cold calling), running meta ads or UGC, sending mass cold outbounds, and establishing partnerships with local businessmen/politicians.

  4. You will pro-actively go in-country to accelerate progress despite not speaking the language.

  5. You will be responsible for your regions’ success. This includes hiring regional leads to ensure reliable data flow, designing the correct incentive structures to compress costs, resolving regulatory complications, and much more.

  6. You will repeat this motion as fast as physically possible across the world.

  7. You will constantly question and innovate on every aspect of data scaling to accelerate the company!

Benefits
  • Competitive pay

  • Medical, dental, and vision packages with generous premium coverage

  • $500 per month credit for waiving medical benefits

  • Housing subsidy of $2k per month for those living within walking distance of the office

  • Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)

  • Various wellness benefits covering fitness, mental health, and more

  • Daily lunch and dinner in our office

  • Unlimited compute budget subject to ROI justification

  • Unlimited Codex and Claude credits

  • Travel

How we're different

Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.

We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: [email protected]

Skills Required

  • Aggressive, hungry, and deeply determined approach
  • Willingness to travel internationally and work in-country, including without speaking the local language
  • Ability to build and manage local sales teams, including door-to-door and cold-calling teams
  • Ability to evaluate regions and launch new markets independently
  • Ability to establish partnerships with local businesspeople and politicians
  • Ability to hire and manage regional leads
  • Ability to design incentive structures, manage costs, and resolve regulatory complications
  • Engineering skills
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The Company
30 Employees
Year Founded: 2025

What We Do

Build AI is a public benefit corporation and data hyperscaler for Physical AI. It integrates hardware manufacturing, logistics, data collection, and model training to scale egocentric physical-labor datasets for researchers and labs. Its mission is to solve physical labor and unlock human potential, advancing robotics and physical superintelligence. The company operates in San Francisco and Shenzhen and develops economically useful human-data infrastructure.

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