Location:
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.
This role will be based in Sunnyvale, CA.
Team Overview:
This role is a part of our LinkedIn Ads AI team, and will be responsible for leading roughly 20 engineers (with one manager reporting to this person, in addition to multiple technical leads). The team includes both AI/ML and Full Stack engineers, who build algorithms, models, and systems that power our Ad Tech platform and products.
Some of our next generation AI solutions include building a new B2B recommendation engine which leverages LinkedIn鈥檚 economic graph, to drive new and better results related to identity, engagement, and buyer data for our Ads products.
LinkedIn Ads is a multi-billion dollar revenue stream for the organization and is a highly successful product area.
Responsibilities:
Develop a strategy for a new technical foundation based on using AI/LLMs to innovate in ad recommendation platforms.
Design a technical solution with actionable recommendations across Marketing and Sales ecosystems, creating a unified data flywheel that compounds value by learning from advertiser outcomes and CRM closed鈥憌on signals.
Evangelize the use of LLMs and AI in software development in the broader organization with robust experimentation and measurement frameworks that tie model performance directly to business outcomes, not just offline or proxy metrics.
Technical vision, execution standards, and mentorship that raise the bar for applied ML rigor, system reliability, and real鈥憌orld impact across the team.
Partner with infra and platform teams to optimize retrieval and serving efficiency, including embedding optimization, adaptive caching, and parameter-efficient fine-tuning.
Attract world class talent and provide technical guidance, career development, and mentoring to team members.
Create an environment that values curiosity, diverse perspectives, and open dialogue. Encourage the team to challenge assumptions, experiment responsibly, and continuously raise the technical bar.