Director, Software Engineering- Ads AI
LinkedIn•Mountain View, CA
fulltime
Engineering
10+ years
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.
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 Audience and Identity teams drive 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.
As a Director of Engineering Audience & Identity, you will be responsible for leading a team of world class applied researchers, ML/AI, and full stack engineers who are solving cutting-edge problems to empower large & small businesses to reach, engage, and convert professional audiences at scale. You’ll be responsible for building a strong technology-driven culture, overseeing some of the most talented scientists and engineers on the planet, and helping them to pursue their passion and transform their careers. You will develop a strong bench of talent across people and technical leadership, and help the team build 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 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
10+ years of experience in leadership positions
Preferred Qualifications Background in AI/ML techniques with applications to the Advertising domain. Proven experience designing and building scalable, reliable infrastructure for marketing technology platforms, with emphasis on data pipelines, eventing systems, and integration across adtech, CRM, and analytics ecosystems.
A proven track record of delivering end-to-end solutions for high QPS systems, working with massive amounts of data.
Proven experience designing and building scalable, reliable infrastructure for marketing technology platforms, with emphasis on data pipelines, eventing systems, and integration across adtech, CRM, and analytics ecosystems.
Experience managing teams of 50+ 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:
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 $226,000 to $369,000. 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.
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.
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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.
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