Director, Software Engineering- Ads AI

Linked In 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.

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

Linked In 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 Linked In'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 ’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.

• Build and ship software, drive architectural decisions and implementation across LMS teams.
• Drive the adoption of cutting-edge solutions and methods to enable innovative marketing solutions products.
• Lead cross team/cross-functional discussions and drive alignment on product/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, while actively raising the level of craftsmanship at Linked In.
• Act as one of the primary domain experts to influence technology choices.
• Lead by example to build a culture of craftsmanship and innovation.

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…