Engineering Manager, AI Platform - Managed AI
About the role
TL;DR
Lead and scale an AI platform engineering team for LLM lifecycle management.
- •As an Engineering Manager on the Managed AI team, you will lead and scale a team of engineers building our next-generation platform for the full lifecycle of Large Language Models (LLMs).
- •You will guide the team through the design and implementation of highly scalable, fault-tolerant infrastructure.
- •Key Responsibilities Lead, mentor, and grow a team of high-caliber software engineers.
- •Oversee the architecture and development of core AI services like fault-tolerant task queues and model management systems.
- •Ensure delivery of scalable systems capable of handling millions of API requests per second.
- •Work cross-functionally with Product, Infrastructure, and GTM stakeholders.
- •Requirements 5+ years managing/leading high-performing engineering teams.
- •Hands-on experience with distributed and concurrent systems or AI infrastructure.
- •Deep knowledge of cloud-native environments, container orchestration, and SOAs.
- •Comfortable owning deliverables from design through production.
Required skills
Nice-to-have skills
Domain expertise
Benefits & perks
Competitive compensation and equity packages, Restricted Stock Units, Paid time off, Paid holidays & leave of absence programs, Comprehensive health, dental & vision insurance, Employer contributions to HSA account, Paid parental leave, Paid life insurance, short-term and long-term disability, Professional development & tuition reimbursement, Mental health & wellness support, Commuter benefits (parking & transit), Cell phone stipend, 401(k) Retirement plan with company match up to 4% of salary, Volunteer time off, Global travel insurance & emergency assistance, Daily meals allowance, Additional perks & programs specific to location