Sr. Director of Engineering - Ads AI

LinkedIn; Mountain View (CA); Hybrid; USD 238,000 - 390,000; Full time

Job summary

An established industry player is seeking a Sr. Director of Engineering to lead innovative solutions in the advertising ecosystem. This role emphasizes building a strong technology-driven culture while overseeing a talented team focused on AI and machine learning applications. You will drive architectural decisions and ensure the delivery of high-quality software solutions that empower businesses to reach their audiences effectively. Join a company that prioritizes employee well-being and fosters a culture of diversity and inclusion, where your leadership will inspire collaboration and high performance.

Benefits

Generous health and wellness programs

Equitable compensation

Time-off programs

Bonuses and stock options

Qualifications

• 15+ years of management experience in technology.
• Strong background in AI/ML with applications in advertising.

Responsibilities

• Build and ship software, drive architectural decisions across LMS teams.
• Lead cross-team discussions on product/technology strategy.

Skills

People Leadership

Ads experience

AI/ML experience

Education

Bachelor's degree in a quantitative field

Tools

Hadoop

Spark

Job description

Principal Executive Recruiter at LinkedIn

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 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 developing innovative measurement and media buying solutions, validating ROI through on-platform and third-party testing to provide data-driven insights for campaign performance. The team emphasizes user privacy, advocating for data minimization, embedding privacy-by-design principles, monitoring compliance with privacy laws, and coordinating closely with legal, engineering, data, and marketing teams.

As a Sr. Director of Engineering Audience, Identity, & Measurement, you will lead a team of applied researchers, ML/AI, and full stack engineers solving cutting-edge problems to enable businesses to reach, engage, and convert professional audiences at scale. You will build a strong technology-driven culture, oversee top talent, and develop industry-leading AI solutions for the advertising ecosystem.

Responsibilities

• Build and ship software, drive architectural decisions and implementation across LMS teams.
• Drive adoption of innovative solutions and methods for marketing products.
• Lead cross-team discussions and align on product/technology strategy.
• Define quality and efficiency standards for software systems, developing best practices that balance impact, operational efficiency, and cost.
• Serve as a domain expert influencing technology choices.
• Lead by example to foster a culture of craftsmanship and innovation.

Qualifications

Basic Qualifications

• Bachelor’s degree in a quantitative field (Computer Science, Operations Research, Statistics, Economics, or related).
• 15+ years of management experience.

Preferred Qualifications

• Strong background in AI/ML with applications in advertising.
• Experience designing scalable, reliable marketing technology infrastructure, especially data pipelines, event systems, and integration across adtech, CRM, and analytics.
• Proven track record delivering solutions for high QPS systems with large data volumes.
• Experience managing teams of 100+ individuals and first/second-line managers, inspiring high performance and collaboration.
• Understanding of large-scale systems and big data technologies (Hadoop, Spark, distributed stores, streaming, recommender systems, statistical methods, experimental design).
• Motivated to work in ambiguous, fast-changing environments, transforming vague problems into well-defined solutions.
• Strong leadership, communication, and relationship-building skills.
• Publications and patents are highly desirable.

Skills

• People Leadership
• Ads experience
• AI/ML experience

Benefits & Culture

We prioritize employee well-being with generous health, wellness, and time-off programs. Compensation is fair and equitable, with a pay range of $238,000 to $390,000, based on experience, skills, location, and other factors. The total package may include bonuses, stock, and benefits. For details, visit LinkedIn Benefits.

Equal Opportunity & Accessibility

LinkedIn is committed to diversity, equity, and inclusion. We consider all qualified applicants without regard to legally protected characteristics. We provide accommodations for applicants with disabilities. For assistance, contact [e-mail].

For transparency, we follow pay and data privacy policies available at Pay Transparency and Data Privacy.