Next Matter
Overview
LinkedIn is the world’s largest professional network. This role is hybrid, performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Our Marketplace (PSM) vision is to become the definitive B2B commerce platform for all organizations worldwide, empowering marketers, sellers, buyers, users and customers to drive better outcomes. The PSM strategy will continue to deliver value to LinkedIn Marketing Solutions (LMS) and LinkedIn Sales Solution (LSS) businesses, with significant investment to drive growth in these areas.
Responsibilities
Spearhead key technical and operational initiatives supporting AI/product platforms foundational across Products and Services Marketplaces (PSM) and partner organizations.
Drive large-scale cross-functional AI platform initiatives and build executive alignment to deliver impact.
Define and champion the metrics that matter most for system health.
Lead improvements to monitoring, alerting, and incident response practices across engineering teams.
Partner with cross-functional engineering groups to embed operational excellence into day-to-day development.
Collaborate with infrastructure teams to anticipate migrations and ensure use cases are well-represented.
Influence and inspire a culture of engineering rigor, accountability, and continuous improvement.
Define, implement, and evolve metrics to measure system health, reliability, and operational excellence across engineering teams.
Lead initiatives to improve monitoring, alerting, and incident response for proactive reliability management.
Document technical requirements and act as a liaison between platform owners and internal customer teams.
Establish and champion best practices that embed engineering excellence into development and operational workflows.
Collaborate with infrastructure teams on migrations and platform changes, addressing product use cases and business requirements.
Drive cross-functional efforts to reduce technical debt, improve scalability, and strengthen long-term resilience.
Provide technical leadership and guidance to engineering teams, fostering quality, accountability, and continuous improvement.
Influence senior stakeholders and align teams around a strategic vision for system health and engineering excellence.
Drive prioritization across technology initiatives, manage roadmaps for a single, consistent view, and lead communications.
Build strategic relationships with technology and business leaders to ensure program success.
Convey complex technical concepts and progress updates to executive stakeholders to foster understanding and alignment across units.
Drive prioritization discussions, emphasizing technical depth and credibility to gain support for strategic initiatives.
Qualifications Basic Qualifications:
Bachelors degree in a quantitative field (Computer Science, Operations Research, Statistics, Economics or related)
8+ years of experience in Ads Stack or infra
5+ years of experience in leading engineering projects
Preferred Qualifications:
Experience designing and building scalable, reliable infrastructure for marketing technology platforms.
Deep expertise in the Ads ecosystem with ability to design and launch impactful products.
Ability to lead by example and collaborate across teams; strong leadership and communication skills.
Understanding of large-scale engineering systems and big data technologies (Hadoop, Spark, distributed stores, streaming, recommender systems, statistical methods, experimental design).
Motivated to work in ambiguous, fast-changing environments; ability to define problems, take initiative, and build consensus.
Strong leadership and relationship-building abilities to drive cross-functional efforts.
Benefits and Pay The pay range for this role is $198,000 to $326,000. Actual compensation is determined by factors including skill set, depth of experience, certifications, and work location. The total compensation may include annual performance bonus, stock, benefits, and other incentive plans. More information is available through LinkedIn’s benefits resources.
About LMS LinkedIn Marketing Solutions (LMS) is the largest and fastest growing B2B Advertising Platform at scale. The LMS engineering team powers the technology stack for advertising, including advertiser experiences, ad serving, and products. The Audience, Identity, & Measurement team drives B2B marketing through automated workflows and data-driven insights, while prioritizing user privacy and compliance.
Equal Opportunity and Accommodations We are an equal opportunity employer and consider 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. We provide reasonable accommodations for applicants with disabilities. To request accommodations, contact accommodations@linkedin.com. A list of accommodations examples is available in our policy materials.
Additional Information LinkedIn will not discriminate against applicants who discuss or disclose their pay. For safety and compliance, some content is provided in policy sections, including San Francisco Fair Chance Ordinance considerations and Pay Transparency policies. Global data privacy information for job candidates is available through LinkedIn’s candidate portal.
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Our Marketplace (PSM) vision is to become the definitive B2B commerce platform for all organizations worldwide, empowering marketers, sellers, buyers, users and customers to drive better outcomes. The PSM strategy will continue to deliver value to LinkedIn Marketing Solutions (LMS) and LinkedIn Sales Solution (LSS) businesses, with significant investment to drive growth in these areas.
Responsibilities
Spearhead key technical and operational initiatives supporting AI/product platforms foundational across Products and Services Marketplaces (PSM) and partner organizations.
Drive large-scale cross-functional AI platform initiatives and build executive alignment to deliver impact.
Define and champion the metrics that matter most for system health.
Lead improvements to monitoring, alerting, and incident response practices across engineering teams.
Partner with cross-functional engineering groups to embed operational excellence into day-to-day development.
Collaborate with infrastructure teams to anticipate migrations and ensure use cases are well-represented.
Influence and inspire a culture of engineering rigor, accountability, and continuous improvement.
Define, implement, and evolve metrics to measure system health, reliability, and operational excellence across engineering teams.
Lead initiatives to improve monitoring, alerting, and incident response for proactive reliability management.
Document technical requirements and act as a liaison between platform owners and internal customer teams.
Establish and champion best practices that embed engineering excellence into development and operational workflows.
Collaborate with infrastructure teams on migrations and platform changes, addressing product use cases and business requirements.
Drive cross-functional efforts to reduce technical debt, improve scalability, and strengthen long-term resilience.
Provide technical leadership and guidance to engineering teams, fostering quality, accountability, and continuous improvement.
Influence senior stakeholders and align teams around a strategic vision for system health and engineering excellence.
Drive prioritization across technology initiatives, manage roadmaps for a single, consistent view, and lead communications.
Build strategic relationships with technology and business leaders to ensure program success.
Convey complex technical concepts and progress updates to executive stakeholders to foster understanding and alignment across units.
Drive prioritization discussions, emphasizing technical depth and credibility to gain support for strategic initiatives.
Qualifications Basic Qualifications:
Bachelors degree in a quantitative field (Computer Science, Operations Research, Statistics, Economics or related)
8+ years of experience in Ads Stack or infra
5+ years of experience in leading engineering projects
Preferred Qualifications:
Experience designing and building scalable, reliable infrastructure for marketing technology platforms.
Deep expertise in the Ads ecosystem with ability to design and launch impactful products.
Ability to lead by example and collaborate across teams; strong leadership and communication skills.
Understanding of large-scale engineering systems and big data technologies (Hadoop, Spark, distributed stores, streaming, recommender systems, statistical methods, experimental design).
Motivated to work in ambiguous, fast-changing environments; ability to define problems, take initiative, and build consensus.
Strong leadership and relationship-building abilities to drive cross-functional efforts.
Benefits and Pay The pay range for this role is $198,000 to $326,000. Actual compensation is determined by factors including skill set, depth of experience, certifications, and work location. The total compensation may include annual performance bonus, stock, benefits, and other incentive plans. More information is available through LinkedIn’s benefits resources.
About LMS LinkedIn Marketing Solutions (LMS) is the largest and fastest growing B2B Advertising Platform at scale. The LMS engineering team powers the technology stack for advertising, including advertiser experiences, ad serving, and products. The Audience, Identity, & Measurement team drives B2B marketing through automated workflows and data-driven insights, while prioritizing user privacy and compliance.
Equal Opportunity and Accommodations We are an equal opportunity employer and consider 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. We provide reasonable accommodations for applicants with disabilities. To request accommodations, contact accommodations@linkedin.com. A list of accommodations examples is available in our policy materials.
Additional Information LinkedIn will not discriminate against applicants who discuss or disclose their pay. For safety and compliance, some content is provided in policy sections, including San Francisco Fair Chance Ordinance considerations and Pay Transparency policies. Global data privacy information for job candidates is available through LinkedIn’s candidate portal.
#J-18808-Ljbffr