Distinguished Software Engineer - Ads AI

LinkedIn is seeking a Distinguished Software Engineer to lead the technology vision and development for the largest B2B Advertising Network in the world. This role sits within the LinkedIn Marketing Solutions (LMS) team and will be instrumental in driving the AI-first transformation of both ads products and the ads stack.

As a Distinguished Engineer, you'll be at the forefront of building advertising platforms and products that impact over 1 billion members and hundreds of thousands of advertising customers globally. The role requires a strong thought leader who can build and execute at scale, inspiring and guiding large teams solving complex problems.

The position involves working on cutting-edge systems including:

• Ad Serving Platform
• Tracking Platform
• Audiences and Targeting Platform
• Marketing Identity Platform
• Measurement and Analytics platforms
• Full-funnel advertising solutions
• AI and Generative AI applications
• LinkedIn Audience Network

The ideal candidate will bring deep technical expertise combined with strong leadership abilities. You'll be responsible for defining the technical vision, driving cross-functional alignment, and establishing best practices that elevate the entire organization's engineering standards.

LinkedIn offers a flexible work environment centered on trust and optimized for culture and connection. The role can be performed either remotely or in a hybrid arrangement, with competitive compensation including base salary, annual performance bonus, stock options, and comprehensive benefits.

This is an exceptional opportunity to shape the future of B2B advertising while working with cutting-edge AI technologies at massive scale. You'll be joining a company that values professional growth, innovation, and making a meaningful impact on how professionals connect and advance their careers worldwide.

The role requires a minimum of 10 years of software development experience and 4+ years of experience with large distributed systems. A bachelor's degree in Computer Science or related field is required, with a master's degree preferred. The successful candidate will have a proven track record of technical leadership and a deep understanding of the advertising industry.