We are a nonprofit research organization that develops scientific methods to assess AI capabilities, risks, and mitigations, with a specific focus on threats related to AI R&D automation and misalignment.
We believe it is robustly good for policymakers and civil society to have a clear understanding of risks from AI systems, and we are extremely excited to build a team of ambitious, excellent people to tackle one of the most important challenges of our time.
About the role
Work you'll own:
- Leading strategy that connects METR’s organizational goals with how we build culture and retain talent.
- Organize team retreats to build the organization’s culture and align the team around shared goals.
- Own how METR's culture and core values carry through organizational growth.
- Set up management coaching for managers to ensure consistent and strong management across the organization.
- Run or organize management trainings and new manager orientation.
- Create processes to facilitate professional development.
- Building processes and systems to support our next phase of growth.
- Own responsibility for keeping our HRIS, as our accurate source of truth on employee data (e.g., new hires, manager changes, wage rate and variable compensation changes).
- Manage compliance, including employee files, I-9s, E-Verify, regulatory filings, and trainings required by state law.
- Process payroll to ensure timely payments to all employees and contractors and compliance with the law.
- Manage benefits, including healthcare enrollment and educating staff about the benefits; serve as the main point of contact for employee questions regarding benefits.
- Owning our compensation philosophy, promotion framework, and performance review process to ensure they are fair, transparent and clear to the team.
- Designing and executing a streamlined employee onboarding process that gets new hires the tools, information and support they need to ramp up quickly, and that scales as we grow.
- Handling employee relations as a trusted advisor to both employees and managers, resolving conflicts, performance concerns and workplace issues fairly and with discretion.
Type of candidate we are looking for:
- You’re an adaptable, highly organized systems builder who thrives in fast-paced, ambiguous environments (e.g. tech companies/startups).
- You’re a strong communicator, who builds trust with staff through honesty and transparency.
- You have sound judgement when handling sensitive HR-related matters.
- You have strong attention to detail and hold a high bar for quality in everything you deliver.
Minimum Requirements
- At least 8 years of experience in HR and People Operations roles, including experience scaling People Ops function and managing a team.
- Experience navigating California and federal employment laws, such as benefits compliance (including ACA, COBRA, ERISA/401(k), HIPAA, FMLA, and qualifying life events), worker classification, and employee leaves.
- Start-up experience / experience in a fast-paced, dynamic environment in an organization with under 500 employees.
Preferred Qualifications
- Experience working with frontier labs or experience working in the AI safety ecosystem.
- Experience scaling an organization from ~30 to 200+ employees.
Skills Required
- At least 8 years of experience in HR and People Operations roles
- Experience scaling a People Operations function and managing a team
- Experience navigating California and federal employment laws
- Experience with benefits compliance, including ACA, COBRA, ERISA/401(k), HIPAA, FMLA, and qualifying life events
- Experience with worker classification and employee leaves
- Startup experience or experience in a fast-paced, dynamic organization with under 500 employees
- Experience working with frontier labs or in the AI safety ecosystem
- Experience scaling an organization from approximately 30 to more than 200 employees
What We Do
METR is a nonprofit research organization that scientifically measures whether and when AI systems might threaten catastrophic harm to society. Its mission is to develop scientific methods to assess AI capabilities, risks, and mitigations, with a specific focus on threats related to autonomy, AI R&D automation, and alignment to enable informed decision-making regarding AI development.
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