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VP Engineering, Head of AI & Analytics at Klaviyo
I am currently leading AI and data analytics eng organization at Klaviyo, a marketing automation platform. Before this, I led the Pinner Discovery engineering team at Pinterest, who is responsible for full-stack development & end-to-end user experiences for Pinterest Home, Closeup (related pins), and Search. These surfaces are where the majority of Pinterest organic traffic goes and where our Pinners get inspired and realize their inspiration via shopping. I have a strong passion for building world-class teams, and I have grown a lot of great talent during my time at Pinterest and LinkedIn. Technology wise, I specialize in building cutting-edge technologies on big data to optimize user experience and revenue for web application products. I have published 20+ peer-reviewed papers and filed 20+ patents, and have been active in giving tutorials on frontier ML technologies in top AI conferences. Product wise, I have extensive experience working in many domains of web products. At Pinterest, I have led my team to build innovative and engaging product experiences using state-of-the-art ML technology. At LinkedIn, I have led projects in various product domains, including ads optimization, feed, email, notification, job marketplace, search, sales solutions, conversational AI, and multimedia AI. These experiences have given me a lot of unique insights into how to make business grow with state-of-the-art technologies.
Duke University
Ph.D, Statistics
January 1, 2004 – January 1, 2008
University of Science and Technology of China
BS, Mathematics
January 1, 2000 – June 1, 2004
Klaviyo
VP Engineering, Head of AI & Analytics
February 1, 2025 – Present
Hybrid
VP Engineering, Head of Pinner Discovery
February 1, 2023 – February 1, 2025
San Francisco Bay Area
Head of Pinterest Browse and Retention Engineering
September 1, 2020 – February 1, 2023
San Francisco Bay Area
Head of LinkedIn Search and Sales Solutions AI, Director of Engineering
March 1, 2018 – September 1, 2020
Principal Staff Machine Learning Engineer / Applied Researcher
August 1, 2017 – March 1, 2018
Sr. Staff Machine Learning Engineer / Applied Researcher
November 1, 2014 – August 1, 2017
Staff Machine Learning Engineer / Applied Researcher
February 1, 2013 – November 1, 2014
Senior Machine Learning Engineer / Applied Researcher
April 1, 2012 – February 1, 2013
Yahoo! Labs
Senior Scientist
August 1, 2008 – April 1, 2012
Inclusive Leadership
June 24, 2026 – Present
Managing Diversity
June 24, 2026 – Present
Confronting Bias: Thriving Across Our Differences
June 24, 2026 – Present
Unconscious Bias
June 24, 2026 – Present
Coaching and Developing Employees
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a consistent history of working at large, product-driven tech companies (Yahoo! Labs, LinkedIn, Pinterest, Klaviyo) with a focus on AI, ML, and data-driven product development. This indicates a strong fit for organizations that value innovation, scale, and data-informed decision-making. The progression from individual contributor to VP Engineering suggests ambition and a growth mindset. However, the target role of 'Data Analyst' is a significant step down from their current and past leadership roles, which might indicate a potential mismatch in expectations or a desire for a very different type of role. The breadth of experience across different product areas (search, recommendations, advertising, analytics) shows adaptability.
Soft Skills & Operational Fit
The candidate's experience as VP Engineering and Head of AI/Analytics demonstrates strong leadership, strategic thinking, and the ability to manage large, complex technical organizations. The descriptions highlight a focus on impact, optimization, and team development. The certifications in 'Coaching and Developing Employees', 'Inclusive Leadership', and 'Confronting Bias' suggest a commitment to modern leadership practices and fostering a positive work environment.