Executive Business Partner

Posted Yesterday
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San Francisco, CA, USA
Hybrid
200K-250K Annually
Mid level
Artificial Intelligence • Information Technology
The Role
Supports 3–4 technical leaders by managing calendars, meetings, travel, communications, recruiting coordination, and project commitments. Serves as a key liaison across the company, handles personal logistics, and works autonomously in a fast-changing startup environment. The role requires adapting to different leadership styles, coordinating across time zones, maintaining discretion with sensitive information, and potentially managing a satellite office.
Summary Generated by Built In
About Thinking Machines

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.

About the Role

We're hiring an Executive Business Partner to support several technical leaders out of our San Francisco office. You will help our team stay focused and organized, managing personal logistics and any tasks that might fall through the cracks. 

This is a non-traditional EA role, requiring creativity in adapting to different people’s work styles and the new challenges that emerge at a fast-moving startup. The role entails real autonomy in making decisions without tight supervision.

What You’ll Do
  • Manage calendars, schedule meetings, and coordinate travel for 3-4 technical leaders

  • Serve as the primary point of contact between your supported leaders and the rest of the company

  • Support recruiting coordination efforts

  • Track projects and commitments so nothing falls through the cracks

Skills and Qualifications

Minimum qualifications:

  • 4+ years of executive or administrative support experience, ideally in AI labs or tech startups

  • Track record of supporting technical leaders such as engineers or researchers

Preferred qualifications:

  • Track record supporting a diverse team, adapting assistance and communication styles to individual needs

  • Experience managing a satellite office and coordinating across time zones

  • Experience adapting to a fast-changing role and meeting challenges proactively

  • Proven professionalism and discretion with sensitive or personal information

  • Having followed an executive to a new company

Logistics
  • Location: This role is based in San Francisco, CA.

  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $200,000 - $250,000 USD.

  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Skills Required

  • 4+ years of executive or administrative support experience, ideally in AI labs or technology startups
  • Experience supporting technical leaders such as engineers or researchers
  • Experience supporting diverse teams and adapting assistance and communication styles
  • Experience managing a satellite office and coordinating across time zones
  • Experience adapting to a fast-changing role and proactively addressing challenges
  • Professionalism and discretion with sensitive or personal information
  • Experience following an executive to a new company
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The Company
HQ: Singapore
91 Employees

What We Do

Thinking Machines Lab is an artificial intelligence research and product company. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. While AI capabilities have advanced dramatically, key gaps remain. The scientific community's understanding of frontier AI systems lags behind rapidly advancing capabilities. Knowledge of how these systems are trained is concentrated within the top research labs, limiting both the public discourse on AI and people's abilities to use AI effectively. And, despite their potential, these systems remain difficult for people to customize to their specific needs and values. To bridge the gaps, we're building Thinking Machines Lab to make AI systems more widely understood, customizable and generally capable. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

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