Sr. Staff Engineer - Eng Excellence

Company Description

LinkedIn 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

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.

Our Products and Services 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 for themselves and their businesses. The PSM strategy recognizes that we will continue to deliver value to our LinkedIn Marketing Solutions (LMS)LMS and Linkedin Sales Solution (LSS)LSS businesses, and that the lion’s share of our investment will be going to directly drive growth in these two areas. 

As the Sr. Staff Engineer leading Engineering Excellence, you will play a critical role in driving the health, reliability, and scalability of our systems. You will:

• Spearhead key technical and operational initiatives supporting AI/product platforms foundational across Products and Services Marketplaces (PSM) and partner orgs. 
• You will also 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 our use cases are well-represented.
• Influence and inspire a culture of engineering rigor, accountability, and continuous improvement.

This role blends deep technical leadership with cultural impact, ensuring our systems are not only reliable today but positioned for long-term growth and resilience. Successful candidates will have a solid track record of technical program and project management and will have demonstrated excellent leadership, along with superior organizational and communication skills in leading teams and programs to deliver successful outcomes. In addition, the right candidate will possess superior B2B business strategy sense, product intuition, and technical understanding to fully integrate with product development teams and contribute at any level of depth. 

Responsibilities:

• 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, enabling proactive management of system reliability.
• Document technical requirements, acting as a liaison between platform owners and internal customer teams
• Establish and champion best practices that embed engineering excellence into day-to-day development and operational workflows.
• Collaborate with infrastructure teams on migration and platform changes, ensuring product use cases and business requirements are addressed.
• Drive cross-functional efforts to reduce technical debt, improve scalability, and strengthen long-term system resilience.
• Provide technical leadership and guidance to engineering teams, fostering a culture of quality, accountability, and continuous improvement.
• Influence senior stakeholders and align teams around a strategic vision for system health and engineering excellence.
• Drive alignments and prioritization across all technology initiatives, manage roadmap for a single consistent view and lead communications
• Build strategic relationships with key technology and business leaders to ensure program success
• Convey complex technical concepts and progress updates to executive-level stakeholders, fostering understanding and alignment across multiple organizational units.
• Drive prioritization discussions, emphasizing the importance of technical depth and credibility to gain support for strategic initiatives.

Qualifications

Basic Qualifications:

• Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields
• 8+ years of experience in Ads Stack or infra
• 5+ years of experience in leading Engineering projects

Preferred Qualifications

• Experienced and knowledgeable in designing and building scalable, reliable infrastructure for marketing technology platforms.
• Deep expertise in the Ads ecosystem, with a demonstrated ability to design and launch impactful products that drive results.
• Ability to lead by example and inspire the team to perform at a high level, and collaborate very well across different teams.
• Good understanding of large-scale engineering systems and some or all of big data technologies like Hadoop, Spark, distributed key-value stores, streaming processes, recommender systems, statistical methods, and experimental design.
• Highly motivated and able to work with ambiguous fast-changing problem landscapes, convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across partners.
• Strong leadership abilities in order to communicate and drive cross-functional efforts. Good relationship building and people skills.
• Suggested Skills:
• * People Leadership
• * Ads experience
• * AI/ML experience

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.

The pay range for this role is $198,000 to $326,000. 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.

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LinkedIn Marketing Solutions (LMS) is the largest and fastest growing B2B Advertising Platform at scale in the world, with revenue north of $7B+. We help organizations grow. The LMS engineering team is responsible for building and scaling the technology stack that powers our advertising business including advertiser experiences, ad serving platform and ad products. The Audience, Identity, & Measurement team drives impactful B2B marketing by streamlining sales and marketing alignment through automated workflows. They empower advertisers to precisely target high-value audiences using LinkedIn's rich professional data, while simultaneously developing innovative measurement and media buying solutions, rigorously validating ROI through both on-platform and third-party testing to provide data-driven insights for optimal campaign performance. Operating with a strong commitment to user privacy, the team advocates for data minimization and anonymization, embeds privacy-by-design principles into all marketing workflows and technology selections, continuously monitors compliance with evolving privacy laws, and achieves responsible data usage through close cross-functional coordination with legal, engineering, data, and marketing teams.

Additional 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 accommodations@linkedin.com 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 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.