Manager (Technical Governance Team)
Miri
| Company | Miri |
| Category | Engineering |
| Location | Berkeley |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 13 Sept 2025 |
| Last verified | 2 Aug 2026 |
| Source | Employer career page (ashby) |
Description
ABOUT MIRI
The Machine Intelligence Research Institute https://intelligence.org/ (MIRI) is a nonprofit based in Berkeley, California, focused on reducing existential risks from the transition to smarter-than-human AI. We've historically been very focused on technical alignment research. Since summer 2023, we have shifted our focus towards communication and AI governance. See our strategy update post https://intelligence.org/2024/01/04/miri-2024-mission-and-strategy-update/ for more details.
ABOUT THE TECHNICAL GOVERNANCE TEAM
The Technical Governance Team (TGT) focuses on researching and designing technical aspects of regulations and policy that could lead to safe AI. The team works on:
- Designing plans for international coordination on AI development
- Making such coordination more viable, e.g., by identifying and building verification mechanisms
- Communicating with and consulting for policymakers and governance organizations
- Inputs into regulations, requests for comments by policy bodies (e.g. NIST/US CAISI, EU, UN)
Our previous publications are available on our website https://techgov.intelligence.org/research and blog https://techgov.intelligence.org/blog. For some of the future projects we are excited about and a discussion of our worldview, see our research agenda https://arxiv.org/abs/2505.04592.
ABOUT THE ROLE
In this role, you would manage a team working on the above areas, and have the opportunity to work on these areas directly.
This role could involve the following, but we are open to candidates who want to focus on a subset of these responsibilities. They are listed in approximate descending order of our need for them:
- Project management, e.g., track existing projects, motivate good work toward deadlines, identify blockers and help team members get unstuck on projects, provide judgment on how projects are going and whether they should continue
- People management, e.g., run future hiring rounds and fellowships, conduct performance reviews, running meetings, identify places where AI can speed up workflows, identify non-AI process improvements for team members
- Pre-publication review of the team’s outputs, e.g., ensuring our work meets the desired quality bar and is consistent with broader MIRI goals
- Internal stakeholder management, e.g., interface with the rest of MIRI and advocate for the team's interests
- External stakeholder management, e.g., build and maintain relationships with policy makers and AI company employees (the target audience for much of our work)
- Bonus: Research contributions, e.g., contributing to object level work
To assess whether you are excited about our team's work and want to accelerate it, we recommend looking through our research outputs https://techgov.intelligence.org/researchechgov.intelligence.org/research and blog https://techgov.intelligence.org/blog. Some of our team's activities are not public by default, such as our engagement with other researchers and policy makers. You are welcome to inquire about these during the hiring process.
WHO WE’RE LOOKING FOR
We are looking for a manager who is broadly aligned with MIRI's values and wants to work toward MIRI’s goals (i.e., the world needs to build an Off Switch for AI https://intelligence.org/2024/01/04/miri-2024-mission-and-strategy-update/), and the Technical Governance Team’s research directions (e.g., those described in our research agenda https://arxiv.org/abs/2505.04592)
There are no formal degree requirements to work on the team, however we are especially excited about applicants who have a strong background in AI Safety and have particular previous experience or familiarity working in (or as) one or more of:
- Compute governance. Technical knowledge of AI hardware / chips manufacturing and related governance proposals.
- Policy (including AI policy). Experience here could involve writing legislation or white papers, engaging with policy makers or other research in AI pol