Finance Manager

Core responsibilities:

• Establish and oversee financial systems to support IAPS as it grows into a fully independent organization
• Set up accounting infrastructure for US and UK entities, maintain accurate records, ensure compliance with nonprofit and grant requirements
• Provide clear financial insight to leadership through monthly reports, analysis, and financial planning cycles
• Manage day-to-day transactions, maintain general ledgers, and ensure IAPS remains financially sound, transparent, and compliant across jurisdictions

This role creates positive change by establishing the financial infrastructure that enables IAPS to conduct critical policy research on AI safety and governance, helping policymakers navigate high-magnitude risks and opportunities at the intersection of AI, national security, and geopolitics.

Required skills and experience:

• 3-5 years of experience in finance roles within small or medium-sized organizations, including at least one year with controller-level responsibilities
• Strong accounting experience including maintaining general ledgers, preparing journal entries, and managing month-end/year-end close processes
• Demonstrated experience managing nonprofit finances, including reporting, compliance, and working with restricted or grant-based funding
• Strong understanding of GAAP and nonprofit accounting principles

Benefits include:

• Salary range: $105,000 - $115,000 USD with location-based adjustments (5% for London, 10% for SF and DC)
• Comprehensive global benefits package including generous health insurance
• Unlimited vacation with minimum 30 days off per year
• Unlimited personal and sick leave (within reason)
• Parental leave up to 6-9 months
• Technology stipend of $2000 USD every 3 years
• Annual team retreat and paid travel opportunities
• Professional development opportunities including conferences and workshops

The Institute for AI Policy and Strategy (IAPS) is a nonprofit nonpartisan think tank that produces policy research to address the implications of AI, from today's most advanced models to potential AGI and superintelligence, equipping policymakers and industry leaders to protect innovation while navigating high-magnitude risks and opportunities.