# Research Operations, Discovery

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Role:** Other
**Salary:** $210k – $310k/yr
**Skills:** Machine Learning, Software Development, Technical Program Management, Research Operations, Ml Research Workflows, Data Pipelines, Training Runs, Evaluations, Product Strategy, Contractor Management
**Posted:** 2026-04-14

> Builds operational infrastructure for AI science research teams, managing contractor networks, partnerships, programs, and product strategy to enable efficient frontier research. Requires technical background in ML/software and experience in research ops or TPM in fast-paced environments.

## Job Description

## Responsibilities

- Build and manage custom expert contractor networks, sourcing domain specialists for eval and training data work that requires expertise beyond standard channels
- Run research partnerships with external partners, from scoping through delivery
- Provide end-to-end TPM support for major research pushes—coordinating across teams, tracking dependencies, and keeping stakeholders aligned
- Ensure that our 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 to contribute to 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
- Can context-switch fluidly between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking)
- Technical background, with experience in software development, machine learning, or biology R&D
- Comfortable working directly with research scientists and engineers—you ask good questions, you don't need things explained twice, and you know when to escalate vs. when to handle it yourself
- Track record of building systems and processes from scratch rather than inheriting them
- Strong written communication skills and can represent the team accurately in external-facing materials
- Managed contractors or external partners before, including scoping work, tracking delivery, and ensuring quality
- Results-oriented, with a bias toward flexibility and impact
- Thrive in ambiguous, fast-moving environments where priorities shift and no two weeks look the same

## Nice-to-Haves

- Direct experience sourcing and managing expert contractor networks, particularly 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, not just operations

## Compensation

Annual Salary: $210,000—$310,000 USD

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