Manager, Software Engineering

This role will be based in Mountain View CA. At LinkedIn 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 LinkedIn 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 LinkedIn 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 processbringing 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 Leadership

Communication

Software Design

Cross-organizational collaboration

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $152000 - $248000. Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set years & depth of experience certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus stock benefits and / or other applicable incentive compensation plans. For additional information visit : Information :

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening apply for a position or participate in the interview process connect with us at and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to :

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link : Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants : Work :

No

Employment Type : Full-time

Key Skills

Hospitality Experience,Go,Management Experience,React,Redux,Node.js,AWS,Mechanical Engineering,Team Management,Leadership Experience,Mentoring,Distributed Systems

Department / Functional Area : Engineering

Experience : years

Vacancy : 1