Manager, Learning & Development

Zoox - Foster City, CA

Hiring: Manager, Learning & Development Company: Zoox Location: Foster City, CA Job Posted Time: 2026-09-10 13:57:55 Target Skills & Keywords : AI, Machine Learning, Program Management About the job Experience: •8+ years of experience in L&D, with at least 5 years managing a team, ideally with experience elevating and scaling an L&D function within a fast-growing organization. •At least 5 years managing a team, ideally with experience elevating and scaling an L&D function within a fast-growing organization. Required Skills: •In this role, you will... •Lead and develop a small L&D team, holding a high bar for execution, providing clear direction and coaching, and maintaining quality and follow-through. •Own the end-to-end design and scalable execution of key initiatives, including leadership development, cohort-based learning, and career development, ensuring they function as a connected ecosystem rather than isolated events. •Translate our leadership framework into practical, impactful learning experiences that stick through varied formats, touchpoints, and approaches. •Translate identified capability needs into well-designed, right-sized learning solutions, working closely with People Partners, managers, and senior leaders to ensure programs are grounded in real organizational needs. •Partner on the evolution of our learning management system and broader learning delivery infrastructure. •Multiply L&D’s impact by equipping managers and enabling People Partners to adapt and reinforce learning frameworks organically within their respective organizations •8+ years of experience in L&D, with at least 5 years managing a team, ideally with experience elevating and scaling an L&D function within a fast-growing organization. Qualifications: •Discipline to understand before designing. You ask good questions, gather the right input, and let that shape your approach rather than jumping to solutions. •Strong organizational judgment and experience building in complex, ambiguous environments. You read the room, understand how decisions get made, and navigate complexity without needing established infrastructure or perfectly defined processes to do your best work. Compensation: •A sign-on bonus may be offered as part of the compensation package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!