Technical Program Manager, External Evaluators

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 role

Anthropic gives independent external evaluators access to our models our people and our safety practices so that they can assess risks processes and policies. Were hiring a Technical Program Manager to establish and deepen our partnerships with these external reviewers and embedded evaluators to support a thriving frontier evaluation ecosystem.

Youll be the main point of contact for our existing partners deepening our support so that they can work effectively and produce high-quality rigorous independent publications. Youll separately broaden the portfolio of organizations we are working with managing the funnel from first conversation through contracting onboarding and day-to-day access culminating in published reports. Youll evolve our current time-intensive manual processes into a system that can support many evaluators at once working with teams across Safety Research Security Legal People Services IT Policy and Communications. Within six months you should be able to take a new evaluator from contract negotiation to first published report with minimal involvement from senior leaders.

Youll need the technical depth to work out with researchers and engineers what access tooling and evidence an evaluation requires and the judgment to resolve most questions quickly and escalate the few that need it while balancing evaluators need for access with Anthropics requirements to protect its customers its security and its confidential information. Were looking for a generalist who can ship quickly and iteratively and who earns trust on both sides.

Key responsibilities

• Own the external evaluator program end to end including our relationships with evaluator organizations and the pipeline of future partners
• Take each evaluator from first conversation through scoping contracting onboarding access and review to a published report
• Define the stages and tiers of working with evaluators and develop information access policies that meet evaluators needs while protecting security and confidential information
• Drive evaluators access and information requests to fast well-documented decisions in partnership with Research Security Legal and IT
• Drive the technical design of evaluator access with Security IT and infrastructure teams including permissions environments and monitoring and close gaps between policy and technical controls without slowing evaluators down
• Run the review process for evaluator reports against agreed timelines and redaction criteria while protecting evaluators ability to publish their own conclusions
• Scope evaluations with researchers and engineers turning evaluators questions about training monitoring and alignment into concrete requirements for model access data tooling and compute and planning capacity for each new evaluator
• Turn evaluators technical findings into research and engineering work with owners and dates and drive accountability for how Anthropic responds
• Keep the company informed with regular updates on how the program is going and clear guidance on how to work with evaluators
• Collect feedback from evaluators and internal teams run retrospectives and iterate on policies and practices
• Use Claude and work with engineering teams to build the tooling the program runs on such as access provisioning request tracking and report review
• Support a thriving ecosystem of evaluators by sharing what we learn about running independent evaluation well

Minimum qualifications

• Experience leading complex technical programs with engineering or research teams from ambiguous goals through delivery
• Experience managing relationships with external organizations including scoping work navigating contracting setting expectations and resolving disagreements
• Strong program management skills including program planning milestone and dependency tracking and risk management across many concurrent workstreams
• Technical fluency in how frontier AI models are trained evaluated and monitored sufficient to define technical requirements identify technical risks and challenge tradeoffs with researchers and engineers
• Sound judgment and discretion with confidential and sensitive information

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:

$290000 - $365000 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.

For roles performing work in California: We will consider for employment all qualified applicants including those with arrest or conviction records or criminal histories in a manner consistent with the requirements of applicable state and local laws including the San Francisco Fair Chance Ordinance the City of Los Angeles Fair Chance Initiative for Hiring Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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.

Required Experience:

IC