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You&#39;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.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build and manage custom expert contractor networks, sourcing domain specialists for eval and training data work that requires expertise beyond standard channels</li>\n<li>Run research partnerships with external partners, from scoping through delivery</li>\n<li>Provide end-to-end TPM support for major research pushes,coordinating across teams, tracking dependencies, and keeping stakeholders aligned</li>\n<li>Ensure that our research progress is complemented by products that enable scientists to make maximal use of model capabilities.</li>\n<li>Support recruiting efforts.</li>\n<li>Coordinate external communications for the team, including supporting blog posts and preparing public-facing materials</li>\n<li>Partner with product teams to contribute to science product strategy, product design, and novel product integrations where research and product intersect</li>\n<li>Own team logistics including onboarding coordination, team events, and operational programs that improve team efficiency</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience in research operations, technical program management, or a related role in a fast-moving technical environment</li>\n<li>Can context-switch fluidly between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking)</li>\n<li>Have a technical background, with experience in software development, machine learning, or biology R&amp;D.</li>\n<li>Are comfortable working directly with research scientists and engineers,you ask good questions, you don&#39;t need things explained twice, and you know when to escalate vs. when to handle it yourself</li>\n<li>Have a track record of building systems and processes from scratch rather than inheriting them</li>\n<li>Bring strong written communication skills and can represent the team accurately in external-facing materials</li>\n<li>Have managed contractors or external partners before, including scoping work, tracking delivery, and ensuring quality</li>\n<li>Are results-oriented, with a bias toward flexibility and impact</li>\n<li>Thrive in ambiguous, fast-moving environments where priorities shift and no two weeks look the same</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Direct experience sourcing and managing expert contractor networks, particularly in technical or scientific domains</li>\n<li>Familiarity with ML research workflows,training runs, evaluations, data pipelines,and what makes them succeed or stall</li>\n<li>Experience contributing to product development or product strategy, not just operations</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the research operations role 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. 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