Interview with Ren Dengjun: From NLP Research to Advertising Tech Leadership at Meituan

Ren Dengjun, a female technology leader at Meituan Dianping, shares her career journey from an initial interest in medicine to computer science, highlighting her graduate studies in natural language processing (NLP) at Northeastern University.

She describes the early challenges of pursuing NLP when the field was considered niche, recounting her research work at Northeastern University under Professor Yao TianShun, and her subsequent roles at Toshiba China R&D Center and Alibaba's advertising technology division.

Ren discusses her transition from pure research to industry, motivated by a desire to apply NLP techniques to real‑world business problems, and details her experiences building tools for advertisers, leading teams, and discovering her management potential at Alibaba.

After stints at Toshiba, Alibaba, and a CTO role at Youyi Interconnect, she joined Meituan Dianping to lead its advertising platform technology team, overseeing systems for ad delivery, algorithms, billing, and merchant‑sales integration that now generate daily revenues in the tens of millions.

She outlines the unique challenges of Meituan’s location‑based advertising, balancing LBS constraints with service capacity, and the need for continuous technical iteration in a dynamic environment.

Ren reflects on the psychological shift from individual contributor to manager, emphasizing the importance of separating personal output from team output, focusing on high‑performing members, and embracing the soft‑skill challenges of technical leadership.

She offers advice to women in tech: break mental gender barriers, stay focused and diligent, and view computer science as a broadly inclusive field that offers great opportunities through effort and concentration.

Outside work, Ren enjoys playing Three Kingdoms Kill and running, and hopes to make modest contributions to human progress.