Job Description

Company Description LinkedIn’s vision is to create economic opportunities for every member of the global workforce.  It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing 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. LinkedIn Marketing Solutions (LMS) is the largest and fastest growing B2B Advertising Platform at scale in the world, with revenue north of $6B+. 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 Assets, Formats, and Placements (AFP) Engineering team in New York owns the full lifecycle of ad formats—from ideation to launch, optimization, and sunset—driving strategy aligned with monetization, advertiser ROI, and user experience. The team collaborates with external partners and internal sales to gather market feedback, analyze performance data, and identify opportunities for new and improved formats, all while building innovative, industry-standard marketing products that grow ad demand and supply, ensuring scalability, performance, and compliance. This team drives LinkedIn’s creative and content strategy, building high-impact formats, scalable assets, and intelligent placement solutions that deliver results across the funnel. From automated asset creation to optimized post-click experiences, this team enables more effective storytelling and performance — both in LinkedIn feed and across the broader ecosystem. As Director of Engineering for AFP, you will also serve as the LMS New York Site Lead, overseeing a world-class team of applied researchers, ML/AI experts, and full-stack engineers working on cutting-edge solutions to help businesses scale their campaigns. You’ll foster a technology-driven culture, build strong leadership bench strength, and empower the team to develop industry-leading AI solutions for the advertising ecosystem. Responsibilities: You will build and ship software, drive architectural decisions and implementation across LMS teams. You will collaborate closely with cross-functional teams including product, design, engineering, sales, policy, and measurement to bring innovative ad experiences to market. You will champion experimentation and A/B testing to validate format effectiveness, iterating quickly based on insights and feedback. You will advocate for the advertiser and user perspective, balancing engagement, creative expression, and ROI. You will drive the adoption of cutting-edge solutions and methods to enable innovative marketing solutions products. You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy. You will define the bar for quality and efficiency of software systems by developing best practices and strategies that balance business impact, operational efficiency, and cost, while actively raising the level of craftsmanship at LinkedIn. You will act as one of the primary domain experts to influence technology choices. You will lead by example to build a culture of craftsmanship and innovation. Qualifications Basic Qualifications Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields 15+ years of experience in management positions Preferred Qualifications Experience with solving real world problems using Large Language Models Strong background in AI/ML techniques with applications to the Advertising domain. Proven experience designing and building scalable, reliable infrastructure for marketing technology platforms. Experience managing teams of ~100 individuals and first/second-line managers. 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. Publications at conferences and patents are highly desirable. 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. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $203,000 to $333,000. 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 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:

Job Tags

For contractors, Flexible hours,

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