LinkedIn is hiring a Director of Engineering for the Audience & Identity teams within LinkedIn Marketing Solutions (LMS). You will lead a team of applied researchers, ML/AI, and full stack engineers solving complex problems to empower businesses to reach, engage, and convert professional audiences at scale.
What You'll Do
- Build and ship software, drive architectural decisions and implementation across LMS teams.
- Drive the adoption of advanced solutions and methods to enable innovative marketing products.
- Lead cross-team and cross-functional discussions and drive alignment on product and technology strategy.
- Define the bar for quality and efficiency of software systems by developing best practices and strategies that balance business impact, operational efficiency, and cost.
- Act as one of the primary domain experts to influence technology choices.
- Lead by example to build a culture of craftsmanship and innovation.
What We're Looking For
- Bachelor's degree in a quantitative field such as Computer Science, Operational Research, Statistics, Economics, or a related field.
- 10+ years of experience in leadership positions.
Nice to Have
- 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.
- Experience managing teams of 50+ individuals and first/second-line managers.
- Good understanding of large-scale engineering systems and some or all 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.
- Strong leadership abilities to communicate and drive cross-functional efforts.
- Publications at conferences and patents are highly desirable.
Technical Stack
- Hadoop
- Spark
- Distributed key-value stores
- Streaming processes
- Recommender systems
Team & Environment
You will lead a team of world class applied researchers, ML/AI, and full stack engineers within the Audience & Identity teams. This includes managing teams of 50+ individuals and first/second-line managers.
Benefits & Compensation
- Generous health and wellness programs
- Time away for employees of all levels
- Compensation: $226,000 to $369,000
Work Mode
This role follows a hybrid work model.
LinkedIn is an equal opportunity employer and 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.
