Senior SDM, Managed AI Agents — Lead Scale & Strategy

Amazon Inc.; Santa Clara (CA); On-site; USD 253,000 - 342,000; Full time

Benefits offered by this job

Sign-on payments and RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Development Center U.S., Inc. in Santa Clara, CA is seeking a Sr. Software Development Manager for Managed Agents at AWS.

You will lead a team of senior engineers, own the service's technical strategy and roadmap, and partner with model providers and AWS teams to scale a fast-growing, secure, and observable cloud service. The role requires deep experience in building distributed systems, ML infrastructure, and large-scale data platforms, with a focus on customer trust, security, and

Qualifications

• 5+ years of engineering team management experience.
• Bachelor's degree in Computer Science or related field or equivalent work experience.
• 10+ years' experience in development of mission-critical system software, with distributed systems, ML infrastructure, or large-scale data platforms.

Responsibilities

• Build and lead a team of senior engineers for the Managed Agents service.
• Own the technical strategy and roadmap for the service, and drive end-to-end engineering, operations, and growth.
• Hire, grow, and mentor the team; make architectural decisions impacting enterprise AI agent usage at AWS.
• Collaborate with model providers and AWS service teams to scale an early-stage service.

Skills

Engineering management

Distributed systems

ML infrastructure

Cloud services

Education

Bachelor's degree in Computer Science or related field

Advanced degree preferred

Job description

Amazon Development Center U.S., Inc. in Santa Clara, CA is seeking a Sr. Software Development Manager for Managed Agents at AWS.

You will lead a team of senior engineers, own the service's technical strategy and roadmap, and partner with model providers and AWS teams to scale a fast-growing, secure, and observable cloud service. The role requires deep experience in building distributed systems, ML infrastructure, and large-scale data platforms, with a focus on customer trust, security, and