Dan Nguyen
AI Product LeaderAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Technology & Product Planning
Product leader with experience building and managing successful businesses within machine learning, mobile, cloud, and messaging. Most recently worked with b2b startups on use of machine learning and data science to deliver business insights and ML models. Previously headed products at Emotient, which was acquired by Apple. Emotient invented deep learning-based facial emotion detection technology, which will profoundly impact devices and applications in personal health, IoT, transportation, media, security, and other areas. My expertise spans product management and marketing, product innovation and strategy, and software development. Managed global, cross-functional teams in start-ups to Fortune 500 companies. Completed seven courses on machine learning, including five courses required for a specialization in deep learning and neural networks, which covered computer vision, natural language processing, speech recognition, language translation, and more.
Harvard Business School
MBA
N/A – Present
Cornell University
B.S. Engineering, Operations Research & Industrial Engineering
N/A – Present
Brand3P
Product Leader, Machine Learning & Data Science
May 1, 2019 – Present
Predictive Context
Machine Learning Technology & Product Planning
June 1, 2018 – Present
Palo Alto, CA
Oracle
Sr. Director, Artificial Intelligence and Bots
July 1, 2017 – May 1, 2018
Redwood City, CA
Emotient
Head of Products
February 1, 2013 – July 1, 2015
Palo Alto, CA
FlockThere, Inc
Mobile Development
January 1, 2011 – January 1, 2012
Sunnyvale, CA
Openwave Systems
Vice President, Product Management
January 1, 2008 – January 1, 2011
Redwood City, CA
Openwave Systems
Director, Product Management
January 1, 2001 – January 1, 2008
Redwood City, CA
VillageBuzz, Inc.
Co-Founder & Vice President, Product Management
January 1, 1999 – January 1, 2001
Redwood City, CA
Envive Corporation
Senior Product Manager
January 1, 1998 – January 1, 1999
Mountain View, CA
Sun Microsystems
Senior Product Manager
January 1, 1997 – January 1, 1998
Menlo Park, CA
Procter & Gamble
Group Manager
January 1, 1990 – January 1, 1995
Cincinnati, OH
Deep Learning Specialization (5-Course Requirement)
DeepLearning.AI
June 24, 2026 – Present
Convolutional Neural Networks
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning by Stanford University
DeepLearning.AI
June 24, 2026 – Present
Sequence Models
DeepLearning.AI
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization by Stanford University
DeepLearning.AI
June 24, 2026 – Present
Structuring Machine Learning Projects by Stanford University
DeepLearning.AI
June 24, 2026 – Present
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Machine Learning by Stanford University on Coursera
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups (Emotient, VillageBuzz, Predictive Context) and large corporations (Oracle, Sun Microsystems, P&G) suggests adaptability to various organizational cultures. Their involvement in pioneering mobile internet and social networking, combined with recent focus on AI/ML, indicates an innovative and forward-thinking mindset. The breadth of roles from hands-on mobile development to VP-level product management shows a willingness to engage at different levels, which can be beneficial for cultural integration. However, the lack of specific project details makes it difficult to fully assess collaboration style and specific cultural alignment beyond general leadership traits.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and product management capabilities. Experience in building and leading teams, establishing processes for data ingestion and ML implementation, and driving commercial success indicates a high operational fit for a leadership role. The MBA from Harvard Business School further supports business acumen and strategic leadership.