Remote AEM Manager Role
•Jobgether· 2h
✨ Other⏰ Full-time👔 Executive📍 Malaysia
2h ago
Linkedin·3 days ago
This role will be based in Mountain View
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.
As a Software Engineering Manager of the Data Catalog team at LinkedIn, you will be part of our world-class software engineering team that is building the next generation of Data Management—evolving from static, human-driven tooling to Agentic Data Management, where intelligent systems actively understand, reason over, and assist with data usage, governance, and reliability at scale.
The Data Catalog team sits at the center of this transformation. We own metadata collection, insights into data ecosystem, data lineage, and data discoverability, and are responsible for turning fragmented metadata into a living, queryable, and actionable knowledge graph that powers both humans and AI agents. This org will be foundational to enabling agentic workflows at LinkedIn—powering AI agents to reason over metadata, lineage, ownership, freshness, and quality to proactively assist users and deliver a delightful data engineering experience.
As part of this transformational journey, we are looking for passionate individuals that would drive strategy in the following areas:
Data Lineage: Design and implement scalable End-to-End (E2E) lineage systems to track data flow, support impact and root-cause analysis, and integrate with other tools in the company
Ecosystem Insights & Intelligence: Provide visibility into the health, usage, and evolution of the data ecosystem, driving continuous improvement in data craftsmanship through actionable insights and metrics, and enabling a sustainable, resilient data ecosystem over time.
Responsibilities
Lead, coach and manage core team of engineers working on building the infrastructure.
Participate with senior management in developing a long-term technology roadmap for the team and company.
Dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope.
Communicate and collaborate effectively with stakeholders across engineering and business leadership.
Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills.
Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time.
Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality.
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 languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.
Hands on experience developing distributed systems, databases, large scale data systems and/or Backend API's
Preferred Qualifications
MS or PhD in Computer Science or related technical discipline
5+ 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++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.
Experience of APIs and AI/agent-driven data management.
Experience in architecting, building, and running large-scale distributed systems
Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Flink, Open Lineage, GraphQL, GRPC, Apache Kafka, Pinot,
Experience with open-source project management and governance
Suggested Skills
Distributed systems
Metadata management
Lineage
Java/Golang/Rust/Python
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 $200,000 - $268,000 Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
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 [email protected] 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:
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 LinkedIn's 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: https://lnkd.in/paytransparency.
Global 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: https://legal.linkedin.com/candidate-portal.