Research Operations, Discovery

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