Tabletop Exercise Lead, The Anthropic Institute

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

About The Anthropic Institute

The Anthropic Institute (TAI) is a function within Anthropic that works to advance the public conversation around AI.

The Institute is comprised of research teams tackling some of AIs most consequential societal challenges: the Frontier Red Team which stress tests our systems against catastrophic risks; Societal Impacts which studies how Claude is used by millions of people; Economic Research which tracks AIs impact on peoples jobs and the larger economy; the Rule of Law team which studies AIs impacts to democracy; and more.

The Institutes mission is to reduce information asymmetries between Anthropic and the outside world name and answer the hard questions implied by powerful AI systems and publish these findings so that policymakers researchers technology leaders and the public can reckon with whats here and whats to come.

About the role

The role. You will build and lead the Institutes tabletop exercise program and the team that runs it. Based on trends visible in the exponential and in consultation with technical experts you will set the research agenda: which questions the exercises should answer which scenarios to run with which audiences and what each run is meant to test. You will own the methods that make results comparable across runs and turn them into findings people outside the room can use. You will hire and manage a team plus a bench of facilitators and you will be the programs public voice.

Why tabletop exercises If RSI arrives the hardest problems will be about making decisions under uncertainty. The people making them may not trust each other and the authorities they work under may not be fit-for-purpose. A tabletop exercise (TTX) allows the people who would face that situation practice it before it is real. It also shows us what tools and information they reach for including what they would need that does not exist yet.

Tabletop exercises are also a research method. You can run the same scenario many times with different groups of people (and with many more AI agents playing in silico) and you start to see the distribution of decisions people make. This is one of the few ways to generate empirical evidence about the future i.e. how people and institutions will respond to situations that have not happened yet.

Key responsibilities

• Set the programs research agenda: the questions exercises should answer the scenarios to run and the audience for each

• Design exercises as empirical studies: define what each run tests standardize scenarios and data capture so results are comparable and use repeated play to map the range of outcomes

• Build the programs measurement: pre- and post-exercise assessments decision logs transcript analysis and after-action reports

• Turn results into findings: publish on what the exercises show and brief senior people inside and outside Anthropic on the gaps they expose

• Hire manage and develop a team and a bench of facilitators

• Make the program scalable: maintain a library of tested scenarios that the team reuses most of the time refreshed on a regular cadence so they stay timely

• Build a facilitator kit (TTX in a box) so other internal teams or external partners can run exercises to the same standard

• Create and direct the tools behind the exercises including Claude-driven simulations that generate a live outside-world feed during play

Minimum qualifications

• Have designed and run tabletop exercises wargames or simulations for senior decision-makers and published on the subject

• Have training in a discipline that uses simulation experimental methods or structured analysis

• Have 10 years of experience in national security government technology policy or strategy

• Can keep the scenarios technically grounded with a strong grasp of AI capabilities and safety research

• Have managed a team including hiring setting direction giving feedback and developing people

• Use Claude and other AI tools extensively in your own work

• Care about AI safety and Anthropics public benefit mission

Preferred qualifications

• Published research on wargaming methods simulation or crisis decision-making

• Run exercises that fed into real policy or crisis-response decisions

• Run multi-iteration or experimental wargames and analyzed results across runs

• Used AI agents or language models as players adjudicators or analysts in simulations

• Led a research program or team through a period of growth

• Existing relationships across national security government policy and AI and are trusted in those communities

• Published widely read work on AI emerging technology strategy or crisis decision-making

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

The annual compensation range for this role is listed below.

For sales roles the range provided is the roles On Target Earnings (OTE) range meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$295000 - $295000 USD

Logistics

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage: Learn about our policy for using AI in our application process.