Technical Program Manager

Pacing is Anthropic’s work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean.

We’re hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You’ll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You’ll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments.

The questions and strategies relevant to this program will change rapidly as the frontier evolves. You’ll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We’re looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives., * Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads

• Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions
• Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion
• Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work
• Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications
• Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work
• Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop
• Use Claude to build automations to allow teams to have broader and deeper impact

• Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery
• Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects
• Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed
• Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed
• A track record of delivering through senior leaders and teams who don’t report to you, including when it meant changing how they work
• Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome
• Sound judgment and discretion with confidential and sensitive information, * Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization
• Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment
• Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research
• Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations
• Experience managing published commitments or high-visibility public releases
• Experience building a program from zero and reshaping it as the strategy evolved, Minimum education: Bachelor’s 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.

For sales roles, the range provided is the role’s 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: $290,000-$365,000 USD, 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.

Anthropic’s 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., 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. We’re 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.