Manager, Software Engineering

Linked In is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

This role will be based in Mountain View, CA. At Linked In, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a Linked In office on select days, as determined by the business needs of the team.

DPX automation team is focused on transforming the way software is built at Linked In through AI-driven automation. Our mission is to accelerate development workflows by building intelligent agents and LLM-powered systems that automate key parts of the software development lifecycle. This includes automatic code generation for product development, QA agents for intelligent testing, build fixer agents to streamline CI/CD, and migration agents for seamless framework upgrades.

We aim to redefine developer productivity by embedding automation deeply and contextually into the engineering process—bringing us closer to a future where high-quality software is built faster, with less manual toil.

Responsibilities:

You will lead a small engineering team focusing on AI agents that accelerate developer productivity. Manage performance, career development, and technical excellence.

You will own and deliver key components of the AI automation product suite, driving impact across the software development lifecycle.

You will shape the long‑term technology roadmap in partnership with senior leadership, aligning team priorities with company goals.

You will coach and mentor engineers, modeling strong execution, craftsmanship, and bias for action.

You will collaborate across teams to leverage a shared technical stack and bring values to various engineering teams.

You will drive innovation in AI‑powered developer tools, working closely with AI/ML engineers to design and scale distributed applications, make architectural trade‑offs, and balance speed with quality.

You will ensure robust engineering practices, including code reviews, design reviews, automated testing, and continuous integration.

You will build highly available, performant, and reliable applications that support 24x7 operations at scale.

Qualifications

Basic Qualifications

BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.

1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training.

5+ years of industry experience in software design, development, and large‑scale software engineering.

Experience programming in object‑oriented and/or functional programming languages (like Java/Python/C/C++/Scala/etc.).

Preferred Qualifications

MS or PhD in Computer Science or related technical discipline.

2+ years of hands‑on software engineering/technical management and people management experience.

7+ years industry experience in software design, development, and algorithm related solutions.

5+ years programming experience in languages such as Java, C/C++, C#, Python, Go, etc.

Experience in the design and development of performant, highly available, scalable web applications.

Understanding of common performance patterns and anti‑patterns in distributed systems.

Successful track record of managing small teams of engineers to deliver multiple projects on time and with quality.

Active involvement in the creation and execution of technical strategies and roadmaps.

Hire and retain world‑class engineers by providing career growth, mentoring, and high impact projects, while taking intelligent risks to improve the way work is done

Suggested

Skills:

AI Agents

LLM

Technical…