About the Role

We are looking for a General Counsel who is not only an exceptional legal practitioner but also a strategic thought partner. We’re excited to deeply engrain the legal and compliance function into our company and not silo it away. You’ll help shape our product and build our legal and compliance function from the ground up. As such, you should feel comfortable hearing half baked ideas and guiding efforts from inception to execution while balancing risk mitigation, creativity, and speed. You should be comfortable working in a fast-paced environment where you can proactively identify opportunities and develop creative legal solutions to complex and potentially novel problems.

Responsibilities

  1. Provide strategic legal advice to the executive team, ensuring compliance with relevant laws and regulations while enabling business growth and innovation.
  2. Develop and implement legal policies, procedures, and best practices to mitigate risks and protect the company's interests.
  3. Review, draft, and negotiate a wide range of commercial agreements, including partnerships, vendor contracts, and customer terms of service.
  4. Manage intellectual property matters, including trademarks, copyrights, and patents, to safeguard the company's proprietary assets.
  5. Monitor and advise on regulatory developments in the compute marketplace and potential commodities exchange industries, proactively identifying opportunities and challenges.
  6. Collaborate with cross-functional teams to develop innovative legal solutions that enable the company to navigate novel financial assets and emerging market opportunities.
  7. Manage and oversee external legal counsel as needed, ensuring cost-effective and efficient legal support.
  8. Provide guidance on corporate governance matters, including board meetings, resolutions, and compliance with statutory requirements.

About Us

We’re the San Francisco Compute Company. We’re building the first real-time compute trading platform. We think that over the next decade, thousands of startups and labs are going to be training and serving large models. They need compute to do this, and we’re building an exchange on which that compute can be traded. If we’re successful, it will be possible to scale to tens of thousands of accelerators for hours at a time without having to build your own infrastructure. This will greatly increase the number of organizations that can afford to train large models, which will make the most important technology of our lifetime accessible to more people.

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