Research Operations, Discovery

Details

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.

About the Team

The team is organized around the north star goal of building an AI scientist — a system capable of solving long-term reasoning challenges and the basic capabilities necessary to push the scientific frontier.

About the Role

We're seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organization running at full speed. The role sits at the intersection of research operations, technical program management, and product strategy. You'll work directly with research scientists and research engineers, doing a mix of tasks including running research partnerships, managing complex internal programs, and helping run the team’s day-to-day operations. You will also contribute to science product development and ensure production deployment environments reflect best configurations.

This is not a pure coordination role: candidates are expected to engage substantively with what the team is building, contribute to strategy, spot problems early, and bring ownership to systems and programs.

Responsibilities

• Build and manage custom expert contractor networks, sourcing domain specialists for evaluation and training data work.
• Run research partnerships with external partners from scoping through delivery.
• Provide end-to-end TPM support for major research pushes: coordinate across teams, track dependencies, and keep stakeholders aligned.
• Ensure research progress is complemented by products that enable scientists to make maximal use of model capabilities.
• Support recruiting efforts.
• Coordinate external communications for the team, including supporting blog posts and preparing public-facing materials.
• Partner with product teams on science product strategy, product design, and novel product integrations where research and product intersect.
• Own team logistics including onboarding coordination, team events, and operational programs that improve team efficiency.

Requirements

• Experience in research operations, technical program management, or a related role in a fast-moving technical environment.
• Ability to context-switch between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking).
• A technical background, with experience in software development, machine learning, or biology R&D.
• Comfortable working directly with research scientists and engineers; able to ask good questions and know when to escalate.
• Track record of building systems and processes from scratch.
• Strong written communication skills and ability to represent the team in external-facing materials.
• Experience managing contractors or external partners, including scoping, tracking delivery, and ensuring quality.
• Results-oriented, with a bias toward flexibility and impact; able to thrive in ambiguous, fast-moving environments.

Strong candidates may also have

• Direct experience sourcing and managing expert contractor networks in technical or scientific domains.
• Familiarity with ML research workflows — training runs, evaluations, data pipelines — and what makes them succeed or stall.
• Experience contributing to product development or product strategy beyond operations.

Logistics

• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
• Location-based hybrid policy: staff are expected to be in one of Anthropic's offices at least 25% of the time; some roles may require more time in office.
• Minimum years of experience: will correlate with internal job level requirements for the position.
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to help, though not every role/candidate can be guaranteed sponsorship.

Compensation

The annual compensation range for this role is listed below:

$210,000 - $310,000 USD

How we're different

Anthropic pursues large-scale "big science" AI research as a cohesive team on a few major research efforts. The organization values impact, collaboration, and communication, and hosts frequent research discussions to focus on the highest-impact work.

Additional notes

• Deadline to apply: None (applications reviewed on a rolling basis).
• Applicants are encouraged to apply even if they don't meet every qualification.
• Candidate guidance and policy for AI usage in the application process are provided on Anthropic's website.