Operations Staff

ABOUT RESOLUTION Resolution does research on how to align artificial superintelligence (ASI). ASI may be developed in the next few years, but it is unclear whether alignment is on track to be ready in the same timeframe. We aim at higher a priori confidence in aligned outcomes by pursuing a portfolio of theory and empirics bets, any one of which — if it succeeds — would meaningfully advance the field. We invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising. Resolution was founded in May 2026 by researchers from UK AISI’s Alignment Team, who ran the £30m Alignment Project https://alignmentproject.aisi.gov.uk/, and Timaeus https://timaeus.co/, who pioneered applying singular learning theory to alignment. For more information, see our announcement http://resolution.org/launch. OPERATIONS AT RESOLUTION Humanity likely has a few years left to solve alignment, and Resolution has just been founded. We’re scaling from scratch to 60+ staff in six months, working across multiple research areas and countries. To pull that off, we're building an operations team that's every bit as strong as our research team — people who treat operations as a craft and want to do the best work of their careers. Joining now is a unique opportunity to set Resolution’s systems, culture, and strategy. Scaling an alignment organization in the foothills of an intelligence explosion creates novel problems. A few you might solve: - Automation. How do we design an organization to prepare for gradually increasing automation? When are human taste and verification key, and when should we get out of the way? - Federation. Resolution is federated: research directors have wide autonomy over their own areas. What decisions should be made centrally? How should independent teams share ideas while preserving their own culture? What’s our bar for launching a new area? - Capital allocation. As research is gradually handed off to AIs, how we spend on compute becomes one of our key strategic calls. How should a portfolio of bets, any of which might fail, divide a limited compute budget? How much should we spend now rather than waiting for more capable models? How do we keep unspent funds working in the meantime? Operators at Resolution will work across 1-2 focus areas, and will also notice and solve problems outside of their official scope. Whatever your focus, the aim is for you to become genuinely world-class at it. As the organisation grows and AI capabilities advance, exact responsibilities will change over time. We’re hiring for a variety of roles across research operations, business operations, and more—find yours below. RESEARCH OPERATIONS You'll collaborate with our researchers — across areas like scalable oversight, learning theory, personas, agent foundations — to get excellent research shipped to where it matters. A great research operator multiplies the output of entire research teams, autonomously leading major projects and skilfully unblocking day-to-day operational problems. Example responsibilities: - Partner with Research Program Leads on team strategy. Define goals, build and structure teams, decide what to prioritize. - Build and run our research review processes: seminars, lightning talks, leadership review, and publication approval. - Research communications: work with researchers to turn technical results into blog posts and announcements. - Run research events: workshops, talks, etc., and help with our presence at conferences. - Maintain relationships with frontier companies, external research collaborators, and potential hires. - Grow our research teams. Work across Research and Recruiting on how we should expand, who to hire, and how to assess them. - Design, pitch and run new projects like grantmaking, a fellowship, or visiting researcher program. CHIEF OF STAFF You'll work directly with our Chief Scientist https://naml.us/, who has built teams at Google DeepMind, OpenAI, and UK AISI, and who treats operations as a craft central to our organization. Your core challenge is to make sure the Chief Scientist — and Resolution's leadership more broadly — spend their time and attention on the highest-leverage work. As you build context, you’ll become one of the most trusted staff in the organization, and play a role in most major decisions. Example responsibilities: - Thought partner. Serve as a trusted advisor, holding strategic views on research, organisational design, and policy, pushing back on the Chief Scientist when you disagree. - Prioritise the Chief Scientist’s time over quarters, weeks, and days. That ranges from setting high-level priorities to executing concrete tasks, like triaging requests from funders, potential collaborators, or policymakers. - Spot and solve organisational-level problems, like how 1-1s are run, how research programs interact, or what’s blocking faster automation. - Draft, edit, and publish on the Chief Scientist's behalf: external blog posts, personalised outreach, or internal decision memos. - Grow the executive office over time. We're running closed rounds for a CEO, COO, and CTO. You'd help onboard them and build the structure they need — including hiring additional Chiefs of Staff or Executive Assistants as needed — and grow your own remit alongside the team. FINANCE As research is automated further, the binding constraint to alignment progress shifts from labor to compute. Capital allocation then becomes one of Resolution’s key strategic questions. You’ll start by making sure we’re nailing the finance fundamentals: - We’re compliant with our obligations to grantmakers and jurisdictions we operate in. That includes preparing for and conducting annual audits, and preparing budgets for fundraising. - Staff can easily purchase what they need to do their job: tools, equipment, travel etc. - We’re sec