AI Research Manager Responsibilities Lead and manage multiple teams of AI researchers and technical leaders delivering large-scale machine learning and AI research projects with significant product impact • Shape and actively influence the AI research strategy and roadmap, translating long-term research goals into prioritized, executable plans • Drive adoption of AI tools and workflows across the team to expand delivery capacity and elevate engineering and research craft • Maintain hands-on technical engagement by evaluating model architectures, research directions, and technical quality using AI-assisted tools and direct contribution • Partner with product, design, and data science teams to ensure AI research outputs translate into measurable product improvements and user value • Recruit, develop, and retain AI research talent, including growing other leaders into AI-era research managers with strong technical and organizational skills • Proactively identify and resolve execution risks across research projects, including issues related to research vision, model quality, and team dependencies • Establish and maintain a high bar for AI research quality, including responsible and ethical use of AI, model evaluation rigor, and reproducibility standards • Represent the team's work and progress to leadership and cross-functional partners through clear written and verbal communication of research direction and outcomes • Contribute to broader organizational health by mentoring leaders across the AI research organization and modeling effective AI practices at scale Minimum Qualifications • 8+ years of experience in AI, machine learning, or a closely related research or engineering field • 4+ years of experience managing teams of researchers or engineers, including experience managing other people managers or technical leaders • Experience defining and executing AI or machine learning research strategy across multiple concurrent projects with cross-functional dependencies • Track record of delivering AI or machine learning systems from research through production at scale, with demonstrated product or business impact • Experience communicating technical AI research direction and outcomes to both technical and non-technical stakeholders through written documents and presentations Preferred Qualifications • Demonstrated ability to integrate AI-native tooling and workflows into team processes to accelerate research velocity and quality • Experience leading AI research teams working on foundation models, large language models, generative AI, or multimodal learning systems • Track record of publishing or shipping novel AI research with measurable impact on product systems or the broader research community • Experience building and scaling AI research organizations, including recruiting and developing researchers across a range of experience levels