Operations Manager
Turing
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Operations Manager
Location: Brazil / India (Remote)
Role Summary
This role's primary responsibility will be to oversee and optimize Talent Operations’ processes and teams. Talent Operations team carry talents on through the selection, onboarding, ongoing contract management, and offboarding processes. With a pipeline of thousands of candidates per week, these processes need to run in a highly productized AI-first way, systematically and at scale. Standardization, setting SLAs, process optimization, tooling and AI Forward automation can define how day to day looks like in this role.
The ideal candidate should be someone who is hands-on and can navigate through all operational levels with depth - being close enough to the ground ops and at the same time being strategic enough to step up to drive structural improvement initiatives across both team and process aspects of the operation.
Core Responsibilities
KPIs Management: Be accountable for operational metrics, proactively identifying trends, deep diving on root causes, diagnosing, planning and coordinating solution plans. Report KPIs and analysis to senior leadership.
Problem Solving: rational thinking to break complex problems into smaller parts, prioritize based on impact and articulate action plan with the team and across stakeholders.
Cost Optimization: manage operational capacity, balance resources utilization, drive costs reduction projects, coordinate vendors.
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