AI Systems Engineering Manager

Socket.dev; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Software Engineering Manager to lead and coordinate efforts across multiple teams in a role that combines technical leadership with people management. You will guide project goals, contribute to product strategy, and help develop engineers while ensuring code quality and scalable systems.

The role involves collaborating across information retrieval, AI, NLP, distributed computing, and large-scale infrastructure, with teams distributed across sites internationally.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience.
• 3 years of full stack development across back-end and front-end technologies.
• 3 years of technical leadership experience.
• 2 years in people management or team leadership.

Responsibilities

• Set and communicate team priorities that support the broader organization's goals.
• Set clear expectations with individuals based on their level and role and provide feedback and coaching.
• Develop the mid-term technical outlook and roadmap within the scope of your team(s).
• Design, guide and vet systems designs and write product or system development code.
• Review code developed by other engineers and provide feedback to ensure best practices.

Skills

Full stack development

Technical leadership

People management

Java

Python

Golang

C++

JavaScript

TypeScript

HTML

CSS

Education

Bachelor’s degree or equivalent

Tools

Java

Python

Golang

C++

JavaScript

TypeScript

HTML

CSS

Job description

Google is seeking a Software Engineering Manager to lead and coordinate efforts across multiple teams in a role that combines technical leadership with people management. You will guide project goals, contribute to product strategy, and help develop engineers while ensuring code quality and scalable systems.

The role involves collaborating across information retrieval, AI, NLP, distributed computing, and large-scale infrastructure, with teams distributed across sites internationally.