Andrew Wei
ML EngineerPrincipal Product Manager - Agentic
Intuit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal Product Manager - Agentic
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My passion is with Search Ranking, Feed Ranking, Natural Language Processing, Speech Recognition, or ML in general
Tsinghua University
Master's degree, Computer Science, Natural Language Processing (NLP)
January 1, 2012 – January 1, 2014
University of California, Davis
B.S, Computer Science
January 1, 2002 – January 1, 2006
Intuit
Principal Product Manager
January 1, 2020 – Present
San Diego, CA
Facebook AI
Product Manager
August 1, 2018 – December 1, 2019
United States
Intuit
Group Product Manager - Search & Machine Learning
August 1, 2016 – August 1, 2018
Greater San Diego Area
Microsoft
Senior PM Lead - Bing Search, Cortana
May 1, 2014 – July 1, 2016
Nuance Communications
Speech Scientist
October 1, 2010 – September 1, 2013
Hitachi GST
Engineering Lead
May 1, 2010 – October 1, 2010
Hitachi GST
Staff Software Engineer
May 1, 2009 – May 1, 2010
Fluential
Software Engineer
February 1, 2007 – April 1, 2009
Sunnyvale, CA
Cultural Fit Analysis
The candidate has worked at several large, well-known technology companies (Intuit, Facebook, Microsoft, Nuance, Hitachi). This suggests adaptability to different corporate cultures and large-scale environments. Their experience spans product management, engineering leadership, and scientific roles, indicating a broad understanding of different functions within a tech organization. The focus on AI/ML across multiple companies aligns well with a target role in ML Engineering, though their recent roles are primarily product-focused rather than hands-on engineering. The transition from engineering to product management might indicate a preference for strategic oversight over deep technical implementation, which could be a cultural fit consideration for a pure ML Engineering role.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, cross-functional collaboration, and strategic planning skills through their various Product Manager roles. They have experience in defining product vision, establishing consensus, and driving execution, which are critical for operational fit in a senior role. The descriptions indicate an ability to translate complex technical concepts into business value and manage project lifecycles.